ENGLISH

Computational Intelligence: methods and techniques

By Leszek Rutkowski

Book information

Publisher
Springer
Year
2008
ISBN
3540762876, 9783540762874
Open Library ID
OL22535435M
Language
english
Format
DJVU
Filesize
4 MB (4007370 bytes)
Edition
1
Pages
519\519
Library
Kolxo3
DPI
600
Time added
2009-07-20 03:45:11

Description

This book focuses on various techniques of computational intelligence, both single ones and those which form hybrid methods. Those techniques are today commonly applied issues of artificial intelligence, e.g. to process speech and natural language, build expert systems and robots. The first part of the book presents methods of knowledge representation using different techniques, namely the rough sets, type-1 fuzzy sets and type-2 fuzzy sets. Next various neural network architectures are presented and their learning algorithms are derived. Moreover, the family of evolutionary algorithms is discussed, in particular the classical genetic algorithm, evolutionary strategies and genetic programming, including connections between these techniques and neural networks and fuzzy systems. In the last part of the book, various methods of data partitioning and algorithms of automatic data clustering are given and new neuro-fuzzy architectures are studied and compared.

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