Cover image for Neuro-fuzzy and soft computing : a computational approach to learning and machine intelligence
Title:
Neuro-fuzzy and soft computing : a computational approach to learning and machine intelligence
Personal Author:
Publication Information:
Upper Saddle River, N.J. : Prentice Hall, 1997
ISBN:
9780132610667

Available:*

Library
Item Barcode
Call Number
Material Type
Item Category 1
Status
Searching...
30000010069358 QA76.9.S63 J36 1997 Open Access Book Book
Searching...
Searching...
30000010050696 QA76.9.S63 J36 1997 Open Access Book Book
Searching...

On Order

Summary

Summary

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 be of practical use. It includes exercises, some of which involve MATLAB programming tasks to provide readers with hands-on programming experiences for practical problem-solving. Each chapter also includes a reference list to the research literature so that readers may pursue topics in greater depth. This book is suitable as a self-study guide by researchers who want to learn basic and advanced neuro-fuzzy and soft computing within the framework of computational intelligence.


Table of Contents

1 Introduction to Neuro-Fuzzy and Soft Computing
I Fuzzy Set Theory
2 Fuzzy Sets
3 Fuzzy Rules and Fuzzy Reasoning
4 Fuzzy Inference Systems
II Regression and Optimization
5 Least-Squares Methods for System Identification
6 Derivative-Based Optimization
7 Derivative-Free Optimization
III Neural Networks
8 Adaptive Networks
9 Supervised Learning Neural Networks
10 Learning from Reinforcement
11 Unsupervised Learning and Other Neural Networks
IV Neuro-Fuzzy Modeling
12 Anfis: Adaptive-Networks-based Fuzzy Inference Systems
13 Coactive Neuro-Fuzzy Modeling: Towards Generalized ANFIS
V Advanced Neuro-Fuzzy Modeling
14 Classification and Regression Trees
15 Data Clustering Algorithms
16 Rulebase Structure Identification
VI Neuro-Fuzzy Control
17 Neuro-Fuzzy Control I
18 Neuro-Fuzzy Control II
VII ADVANCED APPLICATIONS
19 Anfis Applications
20 Fuzzy-Filtered Neural Networks
21 Fuzzy Theory and Genetic Algorithms in Game Playing
22 Soft Computing for Color Recipe Prediction