Computational Intelligence: Methods and Techniques

✍ Scribed by Leszek Rutkowski

• Publisher: Springer
• Year: 2008
• Tongue: English
• Leaves: 529
• Edition: 1
• Category: Library

✦ Synopsis

This quite simply superb book focuses on various techniques of computational intelligence, both single ones and those which form hybrid methods. These techniques are today commonly applied to issues of artificial intelligence. The book presents methods of knowledge representation using different techniques, namely the rough sets, type-1 fuzzy sets and type-2 fuzzy sets. Next up, various neural network architectures are presented and their learning algorithms are derived. Then, the family of evolutionary algorithms is discussed, including connections between these techniques and neural networks and fuzzy systems. Finally, various methods of data partitioning and algorithms of automatic data clustering are given and new neuro-fuzzy architectures are studied and compared.

✦ Table of Contents

Cover......Page 1
Computational Intelligence......Page 3
ISBN 9783540762874......Page 4
Foreword......Page 6
Contents......Page 10
1
Introduction......Page 16
2
Selected issues of artificial intelligence......Page 22
3
Methods of knowledge representation
using rough sets......Page 40
4
Methods of knowledge representation
using type-1 fuzzy sets......Page 78
5
Methods of knowledge representation
using type-2 fuzzy sets......Page 170
6
Neural networks and their learning
algorithms......Page 202
7
Evolutionary algorithms......Page 280
8
Data clustering methods......Page 364
Neuro-fuzzy systems of Mamdani,
logical and Takagi-Sugeno type......Page 386
10
Flexible neuro-fuzzy systems......Page 464
References......Page 510