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Neuro-fuzzy and soft computing a computational approach to learning and machine intelligence

Neuro-Fuzzy Modeling and Soft Computing places particular emphasis on the theoretical aspects of covered methodologies, as well as empirical observations and verifications of various applications in practice. Neuro-Fuzzy Modeling and Soft Computing is oriented toward methodologies that are likely to...

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Bibliographic Details
Main Author: Jang, Jyh-Shing Roger
Other Authors: Sun, Chuen-Tsai, Mizutani, Eiji
Format: Book
Language:English
Published: Upper Saddle River, NJ Prentice Hall c1997
Subjects:
Soft computing
Neural networks (Computer science)
Fuzzy Systems
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Table of Contents:
  • 1. Introduction to Neuro-Fuzzy and Soft Computing
  • 2. Fuzzy Sets
  • 3. Fuzzy Rules and Fuzzy Reasoning
  • 4. Fuzzy Inference Systems
  • 5. Least-Squares Methods for System Identification
  • 6. Derivative-based Optimization
  • 7. Derivative-Free Optimization
  • 8. Adaptive Networks
  • 9. Supervised Learning Neural Networks
  • 10. Learning from Reinforcement
  • 11. Unsupervised Learning and Other Neural Networks
  • 12. ANFIS: Adaptive Neuro-Fuzzy Inference Systems
  • 13. Coactive Neuro-Fuzzy Modeling: Towards Generalized ANFIS
  • 14. Classification and Regression Trees
  • 15. Data Clustering Algorithms
  • 16. Rulebase Structure Identification
  • 17. Neuro-Fuzzy Control I
  • 18. Neuro-Fuzzy Control II
  • 19. ANFIS Applications
  • 20. Fuzzy-Filtered Neural Networks
  • 21. Fuzzy Sets and Genetic Algorithms in Game Playing
  • 22. Soft Computing for Color Recipe Prediction
  • App. A. Hints to Selected Exercises
  • App. B. List of Internet Resources.

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