Computational Intelligence Systems and Applications

Neuro-Fuzzy and Fuzzy Neural Synergisms

Authors:

ISBN: 978-3-662-00334-3 (Print) 978-3-7908-1801-7 (Online)

Table of contents (10 chapters)

  1. Front Matter

    Pages i-x

  2. No Access

    Book Chapter

    Pages 1-15

    Introduction

  3. No Access

    Book Chapter

    Pages 17-51

    Elements of the theory of fuzzy sets

  4. No Access

    Book Chapter

    Pages 53-84

    Essentials of artificial neural networks

  5. No Access

    Book Chapter

    Pages 85-101

    Brief introduction to genetic algorithms

  6. No Access

    Book Chapter

    Pages 103-125

    Main directions of combining artificial neural networks, fuzzy sets and evolutionary computations in designing computational intelligence systems

  7. No Access

    Book Chapter

    Pages 127-190

    Neuro-fuzzy(-genetic) system for synthesizing rule-based knowledge from data

  8. No Access

    Book Chapter

    Pages 191-229

    Rule-based neuro-fuzzy modelling of dynamic system and designing of controllers

  9. No Access

    Book Chapter

    Pages 231-287

    Neuro-fuzzy(-genetic) rule-based classifier designed from data for intelligent decision support

  10. No Access

    Book Chapter

    Pages 289-314

    Fuzzy neural network for system modelling and control

  11. No Access

    Book Chapter

    Pages 315-330

    Fuzzy neural classifier

  12. Back Matter

    Pages 331-364