Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control

The editors describe in this book, new methods for evolutionary design of intelligent systems using soft computing and their applications in modeling, simulation and control. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutio...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Castillo, Oscar (Editor ), Pedrycz, Witold (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Studies in Computational Intelligence, 257
Temas:
Engineering mathematics.
Engineering-Data processing.
Artificial intelligence.
Mathematical and Computational Engineering Applications.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Intelligent Control
  • Optimization of Membership Functions of a Fuzzy Logic Controller for an Autonomous Wheeled Mobile Robot Using Ant Colony Optimization
  • Evolutionary Optimization of Type-2 Fuzzy Logic Systems Applied to Linear Plants
  • Multi-Agent System with Fuzzy Logic Control for Autonomous Mobile Robots in Known Environments
  • Hybrid Interval Type-1 Non-singleton Type-2 Fuzzy Logic Systems Are Type-2 Adaptive Neuro-fuzzy Inference Systems
  • Centralized Direct and Indirect Neural Control of Distributed Parameter Systems
  • Pattern Recognition
  • An Ensemble Neural Network Architecture with Fuzzy Response Integration for Complex Time Series Prediction
  • Optimization of Fuzzy Response Integrators in Modular Neural Networks with Hierarchical Genetic Algorithms: The Case of Face, Fingerprint and Voice Recognition
  • Modular Neural Network with Fuzzy Integration of Responses for Face Recognition
  • A Modular Neural Network with Fuzzy Response Integration for Person Identification Using Biometric Measures
  • Signature Recognition with a Hybrid Approach Combining Modular Neural Networks and Fuzzy Logic for Response Integration
  • Learning and Social Simulation
  • A Hybrid Recommender System Architecture for Learning Objects
  • TA-Fuzzy Semantic Networks for Interaction Representation in Social Simulation
  • Fuzzy Personality Model Based on Transactional Analysis and VSM for Socially Intelligent Agents and Robots
  • Robotics and Hardware Implementations
  • Controlling Unstable Non-Minimum-Phase Systems with Fuzzy Logic: The Perturbed Case
  • Genetic Optimization for the Design of Walking Patterns of a Biped Robot
  • Design and Simulation of the Type-2 Fuzzification Stage: Using Active Membership Functions
  • Methodology to Test and Validate a VHDL Inference Engine of a Type-2 FIS, through the Xilinx System Generator
  • Modeling and Simulation of the Defuzzification Stage of a Type-2 Fuzzy Controller Using the Xilinx System Generator and Simulink.

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