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Autor Takagi, Hideyuki |
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TÃtulo : Advances in Swarm Intelligence : 8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 – August 1, 2017, Proceedings, Part I / Tipo de documento: documento electrónico Autores: Tan, Ying, ; Takagi, Hideyuki, ; Shi, Yuhui, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2017 Número de páginas: XXVII, 631 p. 184 ilustraciones ISBN/ISSN/DL: 978-3-319-61824-1 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Algoritmos Análisis numérico Procesamiento de datos Inteligencia artificial Simulación por ordenador MinerÃa de datos y descubrimiento de conocimientos Modelado por computadora Clasificación: 518.1 Resumen: El conjunto de dos volúmenes de LNCS 10385 y 10386 constituye las actas de la 8.ª Conferencia Internacional sobre Avances en Inteligencia de Enjambre, ICSI 2017, celebrada en Fukuoka, Japón, en julio/agosto de 2017. El total de 133 artÃculos presentados en estos volúmenes fue cuidadosamente revisado y seleccionado entre 267 presentaciones. El artÃculo se organizó en secciones temáticas de la siguiente manera: Parte I: teorÃas y modelos de inteligencia de enjambre; novedosos algoritmos de optimización basados ​​en enjambres; optimización de Enjambre de partÃculas; aplicaciones de optimización de enjambres de partÃculas; optimización de colonias de hormigas; algoritmos de colonias de abejas artificiales; algoritmos genéticos; evolución diferencial; algoritmo de fuegos artificiales; algoritmo de optimización de tormenta de ideas; búsqueda de cuco; y algoritmo de luciérnaga. Parte II: optimización multiobjetivo; optimización de cartera; detección comunitaria; sistemas multiagente y robótica de enjambre; algoritmos y aplicaciones de optimización hÃbrida; enfoque difuso y enjambre; agrupamiento y pronóstico; clasificación y detección; problemas de planificación y rutas; aplicaciones de sistemas de diálogo; control robótico; y otras aplicaciones. . Nota de contenido: Theories and Models of Swarm Intelligence -- Comparative Analysis of Swarm-based Metaheuristic Algorithms on Benchmark Functions -- A Mathematical Model of Information Theory: the Superiority of Collective Knowledge and Intelligence -- Modelling and Verification Analysis of the Predator Prey System via a First Order Logic Approach -- Flock Diameter Control in a Collision-Avoiding Cucker-Smale Flocking Model -- Building a Simulation Model for Distributed Human-based Evolutionary Computation -- Model of interruptions in swarm unit -- Novel Swarm-based Optimization Algorithms -- Dolphin Pod Optimization -- Teaching-Learning-Feedback-Based Optimization -- A New Magnetotactic Bacteria Optimization Algorithm Based on Moment Migration -- A Guide Sign Optimization Problem for an Added Road Based on Bird Mating Optimizer -- LGWO: An Improved Grey Wolf Optimization for Function Optimization -- An Improved Monarch Buttery Optimization with Equal Partition and F/T Mutation -- Particle Swarm Optimization -- A Scalability Analysis of Particle Swarm Optimization Roaming Behaviour -- The Analysis of Strategy for the Boundary Restriction in Particle Swarm Optimization Algorithm -- Particle Swarm Optimization with Ensemble of Inertia Weight Strategies -- Hybrid Comprehensive Learning Particle Swarm Optimizer with Adaptive Starting Local Search -- A Bare Bones Particle Swarm Optimization Algorithm with Dynamic Local Search -- Improving Multi-layer Particle Swarm Optimization using Powell Method -- On the Improvement of PSO Scripts for Slope Stability Analysis -- A High Dimensional Particle Swarm Optimization Based on Similarity Measurement -- A center multi-swarm cooperative particle swarm optimization with ratio and proportion learning -- Applications of Particle Swarm Optimization -- A Discrete Particle Swarm Algorithm for Combinatorial Auctions -- Registration of GPS and Stereo Vision for Point Cloud Localization in Intelligent Vehicles Using Particle Swarm Optimization -- Immersed Tunnel Element TranslationControl under Current Flow Based on Particle Swarm Optimization -- Solving Inverse Kinematics with Vector Evaluated Particle Swarm Optimization -- Particle Swarm Optimization for the Machine Repair Problem with Working Breakdowns -- Intelligent Behavioral Design of Non-Player Characters in a FPS Video Game Through PSO -- Ant Colony Optimization -- An Improved Ant Colony Optimization with Subpath-based Pheromone Modification Strategy -- Decentralized Congestion Control in Random Ant Interaction Networks -- An Energy-Saving Routing Strategy based on Ant Colony Optimization in Wireless Sensor Networks -- Pheromone inspired Morphogenic Distributed Control for Self-Organization of Unmanned Aerial Vehicle Swarm -- Solving the Selective Pickup and Delivery Problem Using Max-Min Ant System -- An Improved Ant-driven Approach to Navigation and Map Building -- Artificial Bee Colony Algorithms -- A Multi-cores Parallel Artificial Bee Colony Optimization Algorithm based on Fork/Join Framework -- Identificationof Common Structural Motifs in RNA Sequences using Artificial Bee Colony Algorithm for Optimization -- A Mixed Artificial Bee Colony Algorithm for the Time-of-Use Pricing Optimization -- Optimization of Office-Space Allocation Problem using Artificial Bee Colony Algorithm -- Genetic Algorithms -- Enhancing Exploration and Exploitation of NSGA-II with GP and PDL -- A Novel Strategy to Control Population Diversity and Convergence for Genetic Algorithm -- Consecutive Meals Planning by Using Permutation GA: Evaluation Function Proposal for Measuring Appearance Order of Meal's Characteristics -- Improving Jaccard Index using Genetic Algorithms for Collaborative Filtering -- Optimizing least-cost Steiner tree in graphs via an encoding-free genetic algorithm -- An Energy Minimized Solution for Solving Redundancy of Underwater Vehicle-Manipulator System Based on Genetic Algorithm -- Study of an Improved Genetic Algorithm for Multiple Paths Automatic Software Test Case Generation -- Differential Evolution -- An Adaptive Differential Evolution with Learning Parameters According to Groups Defined by the Rank of Objective Values -- Comparison of Differential Evolution Algorithms on the Mapping between Problems and Penalty Parameters -- Cooperation Coevolution Differential Evolution with Gradient Descent Strategy for Large Scale Optimization -- Chebyshev Inequality based Approach to Chance Constrained Optimization Problems using Differential Evolution -- Eolving the Distributed Two Machine Flow-shop Scheduling Problem using Differential Evolution -- A Multi-Objective Differential Evolution for QoS Multicast Routing -- Energy-Saving Variable Bias Current Optimization for Magnetic Bearing Using Adaptive Differential Evolution -- Fireworks Algorithm -- Acceleration for Fireworks Algorithm Based on Amplitude Reduction Strategy and Local Optima-based Selection Strategy -- From Resampling to Non-Resampling: A Fireworks Algorithm-based Framework for Solving Noisy Optimization Problems -- Elite-leading Fireworks Algorithm -- Guided Fireworks Algorithm Applied to Maximal Covering Location Problem -- Brain Storm Optimization Algorithm -- An Improved Brain Storm Optimization with Learning Strategy -- Difference Brain Storm Optimization for Combined Heat and Power Economic Dispatch -- Cuckoo Search -- Multiple Chaotic Cuckoo Search Algorithm.-Cuckoo Search Algorithm Approach for the IFS Inverse Problem of 2D Binary Fractal Images -- Solving the Graph Coloring Problem using the Cuckoo Search Algorithm -- A Deep Learning-Cuckoo Search Method for Missing Data Estimation in High-Dimensional Datasets -- Strategies to Improve Cuckoo Search toward Adapting Randomly Changing Environment -- Firefly Algorithm -- Firefly Algorithm Optimized Particle Filter for Relative Navigation of Non-cooperative Target -- An Improved Discrete Firefly Algorithm Used for Traveling salesman problem -- Firefly Clustering Method for Mining Protein Complexes -- Improved Two-dimensional Otsu based on Firefly Optimization for Low Signal-to-noise Ratio Images -- 3D-FOAdis: an improved fruit fly optimization for function optimization. Tipo de medio : Computadora Summary : The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Confrence on Advances in Swarm Intelligence, ICSI 2017, held in Fukuoka, Japan, in July/August 2017. The total of 133 papers presented in these volumes was carefully reviewed and selected from 267 submissions. The paper were organized in topical sections as follows: Part I: theories and models of swarm intelligence; novel swarm-based optimization algorithms; particle swarm optimization; applications of particle swarm optimization; ant colony optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithm; brain storm optimization algorithm; cuckoo searh; and firefly algorithm. Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm robotics; hybrid optimization algorithms and applications; fuzzy and swarm approach; clustering and forecast; classification and detection; planning and routing problems; dialog system applications; robotic control; and other applications. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Swarm Intelligence : 8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 – August 1, 2017, Proceedings, Part I / [documento electrónico] / Tan, Ying, ; Takagi, Hideyuki, ; Shi, Yuhui, . - 1 ed. . - [s.l.] : Springer, 2017 . - XXVII, 631 p. 184 ilustraciones.
ISBN : 978-3-319-61824-1
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Algoritmos Análisis numérico Procesamiento de datos Inteligencia artificial Simulación por ordenador MinerÃa de datos y descubrimiento de conocimientos Modelado por computadora Clasificación: 518.1 Resumen: El conjunto de dos volúmenes de LNCS 10385 y 10386 constituye las actas de la 8.ª Conferencia Internacional sobre Avances en Inteligencia de Enjambre, ICSI 2017, celebrada en Fukuoka, Japón, en julio/agosto de 2017. El total de 133 artÃculos presentados en estos volúmenes fue cuidadosamente revisado y seleccionado entre 267 presentaciones. El artÃculo se organizó en secciones temáticas de la siguiente manera: Parte I: teorÃas y modelos de inteligencia de enjambre; novedosos algoritmos de optimización basados ​​en enjambres; optimización de Enjambre de partÃculas; aplicaciones de optimización de enjambres de partÃculas; optimización de colonias de hormigas; algoritmos de colonias de abejas artificiales; algoritmos genéticos; evolución diferencial; algoritmo de fuegos artificiales; algoritmo de optimización de tormenta de ideas; búsqueda de cuco; y algoritmo de luciérnaga. Parte II: optimización multiobjetivo; optimización de cartera; detección comunitaria; sistemas multiagente y robótica de enjambre; algoritmos y aplicaciones de optimización hÃbrida; enfoque difuso y enjambre; agrupamiento y pronóstico; clasificación y detección; problemas de planificación y rutas; aplicaciones de sistemas de diálogo; control robótico; y otras aplicaciones. . Nota de contenido: Theories and Models of Swarm Intelligence -- Comparative Analysis of Swarm-based Metaheuristic Algorithms on Benchmark Functions -- A Mathematical Model of Information Theory: the Superiority of Collective Knowledge and Intelligence -- Modelling and Verification Analysis of the Predator Prey System via a First Order Logic Approach -- Flock Diameter Control in a Collision-Avoiding Cucker-Smale Flocking Model -- Building a Simulation Model for Distributed Human-based Evolutionary Computation -- Model of interruptions in swarm unit -- Novel Swarm-based Optimization Algorithms -- Dolphin Pod Optimization -- Teaching-Learning-Feedback-Based Optimization -- A New Magnetotactic Bacteria Optimization Algorithm Based on Moment Migration -- A Guide Sign Optimization Problem for an Added Road Based on Bird Mating Optimizer -- LGWO: An Improved Grey Wolf Optimization for Function Optimization -- An Improved Monarch Buttery Optimization with Equal Partition and F/T Mutation -- Particle Swarm Optimization -- A Scalability Analysis of Particle Swarm Optimization Roaming Behaviour -- The Analysis of Strategy for the Boundary Restriction in Particle Swarm Optimization Algorithm -- Particle Swarm Optimization with Ensemble of Inertia Weight Strategies -- Hybrid Comprehensive Learning Particle Swarm Optimizer with Adaptive Starting Local Search -- A Bare Bones Particle Swarm Optimization Algorithm with Dynamic Local Search -- Improving Multi-layer Particle Swarm Optimization using Powell Method -- On the Improvement of PSO Scripts for Slope Stability Analysis -- A High Dimensional Particle Swarm Optimization Based on Similarity Measurement -- A center multi-swarm cooperative particle swarm optimization with ratio and proportion learning -- Applications of Particle Swarm Optimization -- A Discrete Particle Swarm Algorithm for Combinatorial Auctions -- Registration of GPS and Stereo Vision for Point Cloud Localization in Intelligent Vehicles Using Particle Swarm Optimization -- Immersed Tunnel Element TranslationControl under Current Flow Based on Particle Swarm Optimization -- Solving Inverse Kinematics with Vector Evaluated Particle Swarm Optimization -- Particle Swarm Optimization for the Machine Repair Problem with Working Breakdowns -- Intelligent Behavioral Design of Non-Player Characters in a FPS Video Game Through PSO -- Ant Colony Optimization -- An Improved Ant Colony Optimization with Subpath-based Pheromone Modification Strategy -- Decentralized Congestion Control in Random Ant Interaction Networks -- An Energy-Saving Routing Strategy based on Ant Colony Optimization in Wireless Sensor Networks -- Pheromone inspired Morphogenic Distributed Control for Self-Organization of Unmanned Aerial Vehicle Swarm -- Solving the Selective Pickup and Delivery Problem Using Max-Min Ant System -- An Improved Ant-driven Approach to Navigation and Map Building -- Artificial Bee Colony Algorithms -- A Multi-cores Parallel Artificial Bee Colony Optimization Algorithm based on Fork/Join Framework -- Identificationof Common Structural Motifs in RNA Sequences using Artificial Bee Colony Algorithm for Optimization -- A Mixed Artificial Bee Colony Algorithm for the Time-of-Use Pricing Optimization -- Optimization of Office-Space Allocation Problem using Artificial Bee Colony Algorithm -- Genetic Algorithms -- Enhancing Exploration and Exploitation of NSGA-II with GP and PDL -- A Novel Strategy to Control Population Diversity and Convergence for Genetic Algorithm -- Consecutive Meals Planning by Using Permutation GA: Evaluation Function Proposal for Measuring Appearance Order of Meal's Characteristics -- Improving Jaccard Index using Genetic Algorithms for Collaborative Filtering -- Optimizing least-cost Steiner tree in graphs via an encoding-free genetic algorithm -- An Energy Minimized Solution for Solving Redundancy of Underwater Vehicle-Manipulator System Based on Genetic Algorithm -- Study of an Improved Genetic Algorithm for Multiple Paths Automatic Software Test Case Generation -- Differential Evolution -- An Adaptive Differential Evolution with Learning Parameters According to Groups Defined by the Rank of Objective Values -- Comparison of Differential Evolution Algorithms on the Mapping between Problems and Penalty Parameters -- Cooperation Coevolution Differential Evolution with Gradient Descent Strategy for Large Scale Optimization -- Chebyshev Inequality based Approach to Chance Constrained Optimization Problems using Differential Evolution -- Eolving the Distributed Two Machine Flow-shop Scheduling Problem using Differential Evolution -- A Multi-Objective Differential Evolution for QoS Multicast Routing -- Energy-Saving Variable Bias Current Optimization for Magnetic Bearing Using Adaptive Differential Evolution -- Fireworks Algorithm -- Acceleration for Fireworks Algorithm Based on Amplitude Reduction Strategy and Local Optima-based Selection Strategy -- From Resampling to Non-Resampling: A Fireworks Algorithm-based Framework for Solving Noisy Optimization Problems -- Elite-leading Fireworks Algorithm -- Guided Fireworks Algorithm Applied to Maximal Covering Location Problem -- Brain Storm Optimization Algorithm -- An Improved Brain Storm Optimization with Learning Strategy -- Difference Brain Storm Optimization for Combined Heat and Power Economic Dispatch -- Cuckoo Search -- Multiple Chaotic Cuckoo Search Algorithm.-Cuckoo Search Algorithm Approach for the IFS Inverse Problem of 2D Binary Fractal Images -- Solving the Graph Coloring Problem using the Cuckoo Search Algorithm -- A Deep Learning-Cuckoo Search Method for Missing Data Estimation in High-Dimensional Datasets -- Strategies to Improve Cuckoo Search toward Adapting Randomly Changing Environment -- Firefly Algorithm -- Firefly Algorithm Optimized Particle Filter for Relative Navigation of Non-cooperative Target -- An Improved Discrete Firefly Algorithm Used for Traveling salesman problem -- Firefly Clustering Method for Mining Protein Complexes -- Improved Two-dimensional Otsu based on Firefly Optimization for Low Signal-to-noise Ratio Images -- 3D-FOAdis: an improved fruit fly optimization for function optimization. Tipo de medio : Computadora Summary : The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Confrence on Advances in Swarm Intelligence, ICSI 2017, held in Fukuoka, Japan, in July/August 2017. The total of 133 papers presented in these volumes was carefully reviewed and selected from 267 submissions. The paper were organized in topical sections as follows: Part I: theories and models of swarm intelligence; novel swarm-based optimization algorithms; particle swarm optimization; applications of particle swarm optimization; ant colony optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithm; brain storm optimization algorithm; cuckoo searh; and firefly algorithm. Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm robotics; hybrid optimization algorithms and applications; fuzzy and swarm approach; clustering and forecast; classification and detection; planning and routing problems; dialog system applications; robotic control; and other applications. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Advances in Swarm Intelligence : 8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 – August 1, 2017, Proceedings, Part II / Tipo de documento: documento electrónico Autores: Tan, Ying, ; Takagi, Hideyuki, ; Shi, Yuhui, ; Niu, Ben, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2017 Número de páginas: XXVII, 641 p. 214 ilustraciones ISBN/ISSN/DL: 978-3-319-61833-3 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Algoritmos Análisis numérico Procesamiento de datos Inteligencia artificial Simulación por ordenador MinerÃa de datos y descubrimiento de conocimientos Modelado por computadora Clasificación: 518.1 Resumen: El conjunto de dos volúmenes de LNCS 10385 y 10386 constituye las actas de la 8.ª Conferencia Internacional sobre Avances en Inteligencia de Enjambre, ICSI 2017, celebrada en Fukuoka, Japón, en julio/agosto de 2017. El total de 133 artÃculos presentados en estos volúmenes fue cuidadosamente revisado y seleccionado entre 267 presentaciones. El artÃculo se organizó en secciones temáticas de la siguiente manera: Parte I: teorÃas y modelos de inteligencia de enjambre; novedosos algoritmos de optimización basados ​​en enjambres; optimización de Enjambre de partÃculas; aplicaciones de optimización de enjambres de partÃculas; optimización de colonias de hormigas; algoritmos de colonias de abejas artificiales; algoritmos genéticos; evolución diferencial; algoritmo de fuegos artificiales; algoritmo de optimización de tormenta de ideas; búsqueda de cuco; y algoritmo de luciérnaga. Parte II: optimización multiobjetivo; optimización de cartera; detección comunitaria; sistemas multiagente y robótica de enjambre; algoritmos y aplicaciones de optimización hÃbrida; enfoque difuso y enjambre; agrupamiento y pronóstico; clasificación y detección; problemas de planificación y rutas; aplicaciones de sistemas de diálogo; control robótico; y otras aplicaciones. . Nota de contenido: Multi-objective Optimization -- A Parametric Study of Crossover Operators in Pareto-based Multiobjective Evolutionary Algorithm -- Non-dominated Sorting and Crowding Distance Based Multi-objective Chaotic Evolution -- On Performance Improvement based on Restart Meta-Heuristic Implementation for Solving Multi-Objective Optimization Problems -- Using multi-objective evolutionary algorithm to solve dynamic environment and economic dispatch with EVs -- Improved Interval Multi-objective Evolutionary Optimization Algorithm based on Directed Graph -- A Novel Linear Time Invariant Systems Order Reduction Approach based on Cooperative Multi-Objective Genetic Algorithm -- Solving Constrained Multi-objective Optimization Problems with Evolutionary Algorithms -- Portfolio Optimization -- Multi-objective Comprehensive Learning Bacterial Foraging Optimization for Portfolio Optimization -- Metaheuristics for Portfolio Optimization -- Community Detection -- Community Detection under Exponential Random Graph Model: A Metaheuristic Approach -- An Enhanced Particle Swarm Optimization Based on Physarum Model for Community Detection -- The Design and Development of the Virtual Learning Community for Teaching Resources Personalized Recommendation -- The Effect of Event Sentiment on Product Recommendation in a Microblog Platform -- Multi-Agent Systems and Swarm Robotics -- Solar Irradiance Forecasting Based on the Multi-agent Adaptive Fuzzy Neuronet -- Passive Field Dynamics Method: an Advanced Physics-based Approach for Formation Control of Robot Swarm -- Adaptive Potential Fields Model for Solving Distributed Area Coverage Problem in Swarm Robotics -- Swarm-based Spreading Points -- A Survivability Enhanced Swarm Robotic Searching System Using Multi-Objective Particle Swarm Optimization -- Autonomous Coordinated Navigation of Virtual Swarm Bots in Dynamic Indoor Environments by Bat Algorithm -- Building Fractals with a Robot Swarm -- A Stigmergy Based Search Method for Swarm Robots -- Cooperative Control of Multi-Robot System Using Mobile Agent for Multi Source Localization -- Hybrid Optimization Algorithms and Applications -- Evolutionary Fuzzy Control of Three Robots Cooperatively Carrying an Object for Wall Following through the Fusion of Continuous ACO and PSO -- Optimal Operational Planning of Energy Plants by Multi-population Differential Evolutionary Particle Swarm Optimization -- A Review on Hybridization of Particle Swarm Optimization with Artificial Bee Colony -- Study on Greedy Search to Improve Simulated Annealing Algorithm for Large-scale Traveling Salesman Problem -- A Hybrid Swarm based Composition for Chinese Music -- Fuzzy and Swarm Approach -- Fuzzy Logic Controller Design for Tuning the Cooperation of Bio-Inspired Algorithms -- Making Capital Budgeting Decisions for Project Abandonment by Fuzzy Approach -- An Imputation for Missing Data Features based on Fuzzy Swarm Approach in Heart Disease Classification -- Clustering and Forecast -- Total Optimization of Smart City Using Initial Searching Points Generation Based on k-means Algorithm -- Clustering Analysis of ECG Data Streams -- A Novel Multi-cell Multi-Bernoulli Tracking Method Using Local Fractal Feature Estimation -- An Improved Locality Preserving Projection Method for Dimensionality Reduction with Hyperspectral Image -- Applying a Classification Model for Selecting Postgraduate Programs -- University Restaurant Sales Forecast Based on BP neural Network - In Shanghai Jiao Tong University Case -- Classification and Detection -- Swarm ANN/SVR-based modeling method for warfarin dose prediction in Chinese -- A Novel HPSOSA for Kernel Function Type and Parameter Optimization of SVR in Rainfall Forecasting -- An Improved Weighted ELM with Krill Herd Algorithm for Imbalanced Learning -- Fast Pseudo Random Forest using Discrimination Hyper-space -- A Fast Video Vehicle Detection Approach based on Improved Adaboost Classifier -- Detection of Repetitive Forex Chart Patterns -- Damage Estimation from Cues of Image Change -- Identifying Deceptive Review Comments with Rumor and Lie Theories -- Identifying Fake Review Comments for Hostel Industry -- Planning and Routing Problems -- Multi-UAV Cooperative Path Planning for Sensor Placement Using Cooperative Coevolving Genetic Strategy -- Optimal Micro-Siting Planning Considering Long-Term Electricity Demand -- A Hyper-Heuristic Method for UAV Search Planning -- An Efficient MVMO-SH Method for Optimal Capacitor Allocation in Electric Power Distribution Systems -- A Method of New Workers' Accurate Acceptance of Tasks Using Capable Sensing -- A Genetic Mission Planner for Solving Temporal Multi-agent Problems with Concurrent Tasks -- Reformulation and Metaheuristic for the Team Orienteering Arc Routing Problem -- Application of Smell Detection Agent Based Algorithm for Optimal Path Identification by SDN Controllers -- A Comparison of Heuristic Algorithms for Bus Dispatch -- Simulation and Application of Algorithms CVRP to Optimize the Transport of Minerals Metallic and Nonmetallic by Rail for Export -- Dialog System Applications -- User Intention Classification in An Entities Missed In-vehicle Dialog System -- An Exploratory Study of Factors Affecting Number of Fans on Facebook Based on Dialogic Theory -- Assembling Chinese-Mongolian Speech Corpus via Crowdsourcing -- Robotic Control -- Developing Robot Drumming Skill with Listening-Playing Loop -- Evaluation of Parameters of Transactions When Remote Robot Control -- Desktop Gestures Recognition for Human Computer Interaction -- Approach to the Diagnosis and Configuration of Servo Drives in Heterogeneous Machine Control Systems -- Other Applications -- Gravitational Search Algorithm in Recommendation Systems -- A Driver Model Based on Emotions -- A Binaural Signal Synthesis Approach for Fast Rendering of Moving Sound -- Semantic Evolutionary Visualization. . Tipo de medio : Computadora Summary : The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Conference on Advances in Swarm Intelligence, ICSI 2017, held in Fukuoka, Japan, in July/August 2017. The total of 133 papers presented in these volumes was carefully reviewed and selected from 267 submissions. The paper were organized in topical sections as follows: Part I: theories and models of swarm intelligence; novel swarm-based optimization algorithms; particle swarm optimization; applications of particle swarm optimization; ant colony optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithm; brain storm optimization algorithm; cuckoo searh; and firefly algorithm. Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm robotics; hybrid optimization algorithms and applications; fuzzy and swarm approach; clustering and forecast; classification and detection; planning and routing problems; dialog system applications; robotic control; and other applications. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Swarm Intelligence : 8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 – August 1, 2017, Proceedings, Part II / [documento electrónico] / Tan, Ying, ; Takagi, Hideyuki, ; Shi, Yuhui, ; Niu, Ben, . - 1 ed. . - [s.l.] : Springer, 2017 . - XXVII, 641 p. 214 ilustraciones.
ISBN : 978-3-319-61833-3
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Algoritmos Análisis numérico Procesamiento de datos Inteligencia artificial Simulación por ordenador MinerÃa de datos y descubrimiento de conocimientos Modelado por computadora Clasificación: 518.1 Resumen: El conjunto de dos volúmenes de LNCS 10385 y 10386 constituye las actas de la 8.ª Conferencia Internacional sobre Avances en Inteligencia de Enjambre, ICSI 2017, celebrada en Fukuoka, Japón, en julio/agosto de 2017. El total de 133 artÃculos presentados en estos volúmenes fue cuidadosamente revisado y seleccionado entre 267 presentaciones. El artÃculo se organizó en secciones temáticas de la siguiente manera: Parte I: teorÃas y modelos de inteligencia de enjambre; novedosos algoritmos de optimización basados ​​en enjambres; optimización de Enjambre de partÃculas; aplicaciones de optimización de enjambres de partÃculas; optimización de colonias de hormigas; algoritmos de colonias de abejas artificiales; algoritmos genéticos; evolución diferencial; algoritmo de fuegos artificiales; algoritmo de optimización de tormenta de ideas; búsqueda de cuco; y algoritmo de luciérnaga. Parte II: optimización multiobjetivo; optimización de cartera; detección comunitaria; sistemas multiagente y robótica de enjambre; algoritmos y aplicaciones de optimización hÃbrida; enfoque difuso y enjambre; agrupamiento y pronóstico; clasificación y detección; problemas de planificación y rutas; aplicaciones de sistemas de diálogo; control robótico; y otras aplicaciones. . Nota de contenido: Multi-objective Optimization -- A Parametric Study of Crossover Operators in Pareto-based Multiobjective Evolutionary Algorithm -- Non-dominated Sorting and Crowding Distance Based Multi-objective Chaotic Evolution -- On Performance Improvement based on Restart Meta-Heuristic Implementation for Solving Multi-Objective Optimization Problems -- Using multi-objective evolutionary algorithm to solve dynamic environment and economic dispatch with EVs -- Improved Interval Multi-objective Evolutionary Optimization Algorithm based on Directed Graph -- A Novel Linear Time Invariant Systems Order Reduction Approach based on Cooperative Multi-Objective Genetic Algorithm -- Solving Constrained Multi-objective Optimization Problems with Evolutionary Algorithms -- Portfolio Optimization -- Multi-objective Comprehensive Learning Bacterial Foraging Optimization for Portfolio Optimization -- Metaheuristics for Portfolio Optimization -- Community Detection -- Community Detection under Exponential Random Graph Model: A Metaheuristic Approach -- An Enhanced Particle Swarm Optimization Based on Physarum Model for Community Detection -- The Design and Development of the Virtual Learning Community for Teaching Resources Personalized Recommendation -- The Effect of Event Sentiment on Product Recommendation in a Microblog Platform -- Multi-Agent Systems and Swarm Robotics -- Solar Irradiance Forecasting Based on the Multi-agent Adaptive Fuzzy Neuronet -- Passive Field Dynamics Method: an Advanced Physics-based Approach for Formation Control of Robot Swarm -- Adaptive Potential Fields Model for Solving Distributed Area Coverage Problem in Swarm Robotics -- Swarm-based Spreading Points -- A Survivability Enhanced Swarm Robotic Searching System Using Multi-Objective Particle Swarm Optimization -- Autonomous Coordinated Navigation of Virtual Swarm Bots in Dynamic Indoor Environments by Bat Algorithm -- Building Fractals with a Robot Swarm -- A Stigmergy Based Search Method for Swarm Robots -- Cooperative Control of Multi-Robot System Using Mobile Agent for Multi Source Localization -- Hybrid Optimization Algorithms and Applications -- Evolutionary Fuzzy Control of Three Robots Cooperatively Carrying an Object for Wall Following through the Fusion of Continuous ACO and PSO -- Optimal Operational Planning of Energy Plants by Multi-population Differential Evolutionary Particle Swarm Optimization -- A Review on Hybridization of Particle Swarm Optimization with Artificial Bee Colony -- Study on Greedy Search to Improve Simulated Annealing Algorithm for Large-scale Traveling Salesman Problem -- A Hybrid Swarm based Composition for Chinese Music -- Fuzzy and Swarm Approach -- Fuzzy Logic Controller Design for Tuning the Cooperation of Bio-Inspired Algorithms -- Making Capital Budgeting Decisions for Project Abandonment by Fuzzy Approach -- An Imputation for Missing Data Features based on Fuzzy Swarm Approach in Heart Disease Classification -- Clustering and Forecast -- Total Optimization of Smart City Using Initial Searching Points Generation Based on k-means Algorithm -- Clustering Analysis of ECG Data Streams -- A Novel Multi-cell Multi-Bernoulli Tracking Method Using Local Fractal Feature Estimation -- An Improved Locality Preserving Projection Method for Dimensionality Reduction with Hyperspectral Image -- Applying a Classification Model for Selecting Postgraduate Programs -- University Restaurant Sales Forecast Based on BP neural Network - In Shanghai Jiao Tong University Case -- Classification and Detection -- Swarm ANN/SVR-based modeling method for warfarin dose prediction in Chinese -- A Novel HPSOSA for Kernel Function Type and Parameter Optimization of SVR in Rainfall Forecasting -- An Improved Weighted ELM with Krill Herd Algorithm for Imbalanced Learning -- Fast Pseudo Random Forest using Discrimination Hyper-space -- A Fast Video Vehicle Detection Approach based on Improved Adaboost Classifier -- Detection of Repetitive Forex Chart Patterns -- Damage Estimation from Cues of Image Change -- Identifying Deceptive Review Comments with Rumor and Lie Theories -- Identifying Fake Review Comments for Hostel Industry -- Planning and Routing Problems -- Multi-UAV Cooperative Path Planning for Sensor Placement Using Cooperative Coevolving Genetic Strategy -- Optimal Micro-Siting Planning Considering Long-Term Electricity Demand -- A Hyper-Heuristic Method for UAV Search Planning -- An Efficient MVMO-SH Method for Optimal Capacitor Allocation in Electric Power Distribution Systems -- A Method of New Workers' Accurate Acceptance of Tasks Using Capable Sensing -- A Genetic Mission Planner for Solving Temporal Multi-agent Problems with Concurrent Tasks -- Reformulation and Metaheuristic for the Team Orienteering Arc Routing Problem -- Application of Smell Detection Agent Based Algorithm for Optimal Path Identification by SDN Controllers -- A Comparison of Heuristic Algorithms for Bus Dispatch -- Simulation and Application of Algorithms CVRP to Optimize the Transport of Minerals Metallic and Nonmetallic by Rail for Export -- Dialog System Applications -- User Intention Classification in An Entities Missed In-vehicle Dialog System -- An Exploratory Study of Factors Affecting Number of Fans on Facebook Based on Dialogic Theory -- Assembling Chinese-Mongolian Speech Corpus via Crowdsourcing -- Robotic Control -- Developing Robot Drumming Skill with Listening-Playing Loop -- Evaluation of Parameters of Transactions When Remote Robot Control -- Desktop Gestures Recognition for Human Computer Interaction -- Approach to the Diagnosis and Configuration of Servo Drives in Heterogeneous Machine Control Systems -- Other Applications -- Gravitational Search Algorithm in Recommendation Systems -- A Driver Model Based on Emotions -- A Binaural Signal Synthesis Approach for Fast Rendering of Moving Sound -- Semantic Evolutionary Visualization. . Tipo de medio : Computadora Summary : The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Conference on Advances in Swarm Intelligence, ICSI 2017, held in Fukuoka, Japan, in July/August 2017. The total of 133 papers presented in these volumes was carefully reviewed and selected from 267 submissions. The paper were organized in topical sections as follows: Part I: theories and models of swarm intelligence; novel swarm-based optimization algorithms; particle swarm optimization; applications of particle swarm optimization; ant colony optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithm; brain storm optimization algorithm; cuckoo searh; and firefly algorithm. Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm robotics; hybrid optimization algorithms and applications; fuzzy and swarm approach; clustering and forecast; classification and detection; planning and routing problems; dialog system applications; robotic control; and other applications. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Data Mining and Big Data : Second International Conference, DMBD 2017, Fukuoka, Japan, July 27 – August 1, 2017, Proceedings / Tipo de documento: documento electrónico Autores: Tan, Ying, ; Takagi, Hideyuki, ; Shi, Yuhui, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2017 Número de páginas: XV, 546 p. 210 ilustraciones ISBN/ISSN/DL: 978-3-319-61845-6 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Software de la aplicacion Inteligencia artificial Procesamiento de datos Computadoras digitales electrónicas Algoritmos Aplicaciones informáticas y de sistemas de información MinerÃa de datos y descubrimiento de conocimientos Rendimiento y evaluación del sistema Clasificación: 005.3 Ciencia de los computadores (Programas) Resumen: Este libro constituye las actas arbitradas de la Segunda Conferencia Internacional sobre MinerÃa de Datos y Big Data, DMBD 2017, celebrada en Fukuoka, Japón, en julio/agosto de 2017. Los 53 artÃculos presentados en este volumen fueron cuidadosamente revisados ​​y seleccionados entre 96 presentaciones. Fueron organizados en secciones temáticas denominadas: análisis de asociación; agrupamiento; predicción; clasificación; análisis de cronograma y secuencia; grandes datos; análisis de los datos; procesamiento de datos; extracción de textos; aprendizaje profundo; computación de alto rendimiento; base de conocimientos y su marco; y control difuso. . Nota de contenido: Association Analysis -- A Process for Exploring Employees' Relationships via Social Network and Sentiment Analysis -- Mining Relationship between User Purposes and Product Features towards Purpose-Oriented Recommendation -- Finding Top-k Fuzzy Frequent Itemsets from Databases -- Association Rule Mining in Healthcare Analytics -- Does Student's Diligence to Study Relate to His/Her Academic Performance -- Correlation anaylsis of diesel engine performance testing data based on mixed-copula method -- Clustering -- Comparative Study of Apache Spark MLlib Clustering Algorithms -- l-DP algorithm: a hybrid density peaks clustering -- Prediction -- Incremental Adaptive Time Series Prediction for Power Demand Forecasting -- Food Sales Prediction with Meteorological Data { A Case Study of a Japanese Chain Supermarket -- Cascade Spatial Autoregression for Air Pollution Prediction -- Machine Learning Techniques for Prediction of Pre-fetched Objects in Handling Big Data Storage -- Classification -- Spectral-SpatialMineral Classification Of Lunar Surface Using Band Parameters With Active Learning -- R2CEDM: A Rete-based RFID Complex Event Detection Method -- Learning Analytics for SNS-Integrated Virtual Learning Environment -- LBP vs. LBP Variance for Texture Classification -- A Decision Tree Of Ignition Point For Simple Inflammable Chemical Compounds -- Analyzing Consumption Behaviors of Pet Owners in a Veterinary Hospital -- Schedule and Sequence Analysis -- Modeling Inter-Country Connection from Geotagged News Reports: A Time-Series Analysis -- Mining Sequential Patterns of Students' Access on Learning Management System -- Design of a dynamic electricity trade scheduler based on genetic algorithms -- Increasing Coverage of Information Spreading in Social Networks with Supporting Seeding -- Big Data -- B-Learning and Big Data: Use in Training an Engineering Course -- Mapping Knowledge Domain Research in Big Data: From 2006 to 2016 -- Template based Industrial Big Data Information Extraction and Query System -- Finding the Typical Communication Black Hole in Big Data Environment -- A Solution for Mining Big Data Based on Distributed Data Streams and Its Classifying Algorithms -- Data Analysis -- Design of a Quality-Aware Data Capture System -- Data Architecture for the Internet of Things and Industry 4.0 -- Machine Learning in Data Lake for Combining Data Silos -- Development of 3D Earth Visualization for Taiwan Ocean Environment Demonstration -- Exploring Potential Use of Mobile Phone Data Resource to Analyze Inter-Regional Travel Patterns in Japan -- REBUILD:Graph Embedding Based Method for User Social Role Identity on Mobile Communication Network -- Study A Join Query Strategy over Data Stream Based on Sliding Windows -- Data Mining -- L2 Learners' Proficiency Evaluation Using Statistics Based on Relationship among CEFR Rating Scales -- Research Hotspots and Trends in Data Mining: From 1993 to 2016 -- Proposal for a New Reduct Method for Decision Tables and an Improved STRIM -- Post-marketing Drug Safety Evaluation using Data Mining Based on FAERS -- Crowd density estimation from few RF tracking devices: I. Modelling Framework -- Text Mining -- Mining Textual Reviews with Hierarchical Latent Tree Analysis -- Extraction of Temporal Events from Clinical Text using Semi-Supervised Conditional Random Fields -- Characteristics of language usage in inquires asked to an online help desk -- Deep Learning -- A Novel Diagnosis Method for SZ by Deep Neural Networks -- A Novel Data-driven Fault Diagnosis Method Based on Deep Learning -- High Performance Computing -- Simulated Precipitation and Reservoir Inflow in the Chao Phraya River Basin by Multi-Model Ensemble CMIP3 & CMIP5 -- An IDL-Based Parallel Model for Scientific Computations on Multi-Core Computers -- Accelerating Redis with RDMA over InfiniBand -- Knowledge Base and its Framework -- Application of Decision Trees in the Development of a Knowledge Base for a System of Support for Revitalization Processes -- ABC Metaheuristic Based Optimized Adaptation Planning Logic for Decision Making Intelligent Agents in Self Adaptive Software System -- A Knowledge-based Framework for Mitigating Hydro-Meteorological Disasters -- Fuzzy Control -- Improved Stability and Stabilization Criteria for T-S Fuzzy Systems with Distributed Time-Delay -- Adaptive Neuro-Fuzzy Inference System: Overview, Strengths, Limitations, and Solutions -- Acquisition of Knowledge in the Form of Fuzzy Rules for Cases Classification. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the Second International Conference on Data Mining and Big Data, DMBD 2017, held in Fukuoka, Japan, in July/August 2017. The 53 papers presented in this volume were carefully reviewed and selected from 96 submissions. They were organized in topical sections named: association analysis; clustering; prediction; classification; schedule and sequence analysis; big data; data analysis; data mining; text mining; deep learning; high performance computing; knowledge base and its framework; and fuzzy control. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Data Mining and Big Data : Second International Conference, DMBD 2017, Fukuoka, Japan, July 27 – August 1, 2017, Proceedings / [documento electrónico] / Tan, Ying, ; Takagi, Hideyuki, ; Shi, Yuhui, . - 1 ed. . - [s.l.] : Springer, 2017 . - XV, 546 p. 210 ilustraciones.
ISBN : 978-3-319-61845-6
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Software de la aplicacion Inteligencia artificial Procesamiento de datos Computadoras digitales electrónicas Algoritmos Aplicaciones informáticas y de sistemas de información MinerÃa de datos y descubrimiento de conocimientos Rendimiento y evaluación del sistema Clasificación: 005.3 Ciencia de los computadores (Programas) Resumen: Este libro constituye las actas arbitradas de la Segunda Conferencia Internacional sobre MinerÃa de Datos y Big Data, DMBD 2017, celebrada en Fukuoka, Japón, en julio/agosto de 2017. Los 53 artÃculos presentados en este volumen fueron cuidadosamente revisados ​​y seleccionados entre 96 presentaciones. Fueron organizados en secciones temáticas denominadas: análisis de asociación; agrupamiento; predicción; clasificación; análisis de cronograma y secuencia; grandes datos; análisis de los datos; procesamiento de datos; extracción de textos; aprendizaje profundo; computación de alto rendimiento; base de conocimientos y su marco; y control difuso. . Nota de contenido: Association Analysis -- A Process for Exploring Employees' Relationships via Social Network and Sentiment Analysis -- Mining Relationship between User Purposes and Product Features towards Purpose-Oriented Recommendation -- Finding Top-k Fuzzy Frequent Itemsets from Databases -- Association Rule Mining in Healthcare Analytics -- Does Student's Diligence to Study Relate to His/Her Academic Performance -- Correlation anaylsis of diesel engine performance testing data based on mixed-copula method -- Clustering -- Comparative Study of Apache Spark MLlib Clustering Algorithms -- l-DP algorithm: a hybrid density peaks clustering -- Prediction -- Incremental Adaptive Time Series Prediction for Power Demand Forecasting -- Food Sales Prediction with Meteorological Data { A Case Study of a Japanese Chain Supermarket -- Cascade Spatial Autoregression for Air Pollution Prediction -- Machine Learning Techniques for Prediction of Pre-fetched Objects in Handling Big Data Storage -- Classification -- Spectral-SpatialMineral Classification Of Lunar Surface Using Band Parameters With Active Learning -- R2CEDM: A Rete-based RFID Complex Event Detection Method -- Learning Analytics for SNS-Integrated Virtual Learning Environment -- LBP vs. LBP Variance for Texture Classification -- A Decision Tree Of Ignition Point For Simple Inflammable Chemical Compounds -- Analyzing Consumption Behaviors of Pet Owners in a Veterinary Hospital -- Schedule and Sequence Analysis -- Modeling Inter-Country Connection from Geotagged News Reports: A Time-Series Analysis -- Mining Sequential Patterns of Students' Access on Learning Management System -- Design of a dynamic electricity trade scheduler based on genetic algorithms -- Increasing Coverage of Information Spreading in Social Networks with Supporting Seeding -- Big Data -- B-Learning and Big Data: Use in Training an Engineering Course -- Mapping Knowledge Domain Research in Big Data: From 2006 to 2016 -- Template based Industrial Big Data Information Extraction and Query System -- Finding the Typical Communication Black Hole in Big Data Environment -- A Solution for Mining Big Data Based on Distributed Data Streams and Its Classifying Algorithms -- Data Analysis -- Design of a Quality-Aware Data Capture System -- Data Architecture for the Internet of Things and Industry 4.0 -- Machine Learning in Data Lake for Combining Data Silos -- Development of 3D Earth Visualization for Taiwan Ocean Environment Demonstration -- Exploring Potential Use of Mobile Phone Data Resource to Analyze Inter-Regional Travel Patterns in Japan -- REBUILD:Graph Embedding Based Method for User Social Role Identity on Mobile Communication Network -- Study A Join Query Strategy over Data Stream Based on Sliding Windows -- Data Mining -- L2 Learners' Proficiency Evaluation Using Statistics Based on Relationship among CEFR Rating Scales -- Research Hotspots and Trends in Data Mining: From 1993 to 2016 -- Proposal for a New Reduct Method for Decision Tables and an Improved STRIM -- Post-marketing Drug Safety Evaluation using Data Mining Based on FAERS -- Crowd density estimation from few RF tracking devices: I. Modelling Framework -- Text Mining -- Mining Textual Reviews with Hierarchical Latent Tree Analysis -- Extraction of Temporal Events from Clinical Text using Semi-Supervised Conditional Random Fields -- Characteristics of language usage in inquires asked to an online help desk -- Deep Learning -- A Novel Diagnosis Method for SZ by Deep Neural Networks -- A Novel Data-driven Fault Diagnosis Method Based on Deep Learning -- High Performance Computing -- Simulated Precipitation and Reservoir Inflow in the Chao Phraya River Basin by Multi-Model Ensemble CMIP3 & CMIP5 -- An IDL-Based Parallel Model for Scientific Computations on Multi-Core Computers -- Accelerating Redis with RDMA over InfiniBand -- Knowledge Base and its Framework -- Application of Decision Trees in the Development of a Knowledge Base for a System of Support for Revitalization Processes -- ABC Metaheuristic Based Optimized Adaptation Planning Logic for Decision Making Intelligent Agents in Self Adaptive Software System -- A Knowledge-based Framework for Mitigating Hydro-Meteorological Disasters -- Fuzzy Control -- Improved Stability and Stabilization Criteria for T-S Fuzzy Systems with Distributed Time-Delay -- Adaptive Neuro-Fuzzy Inference System: Overview, Strengths, Limitations, and Solutions -- Acquisition of Knowledge in the Form of Fuzzy Rules for Cases Classification. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the Second International Conference on Data Mining and Big Data, DMBD 2017, held in Fukuoka, Japan, in July/August 2017. The 53 papers presented in this volume were carefully reviewed and selected from 96 submissions. They were organized in topical sections named: association analysis; clustering; prediction; classification; schedule and sequence analysis; big data; data analysis; data mining; text mining; deep learning; high performance computing; knowledge base and its framework; and fuzzy control. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
