Description
This book provides a unified approach for developing a fuzzy classifier and explains the advantages and disadvantages of different classifiers through extensive performance evaluation of real data sets. It thus offers new learning paradigms for analyzing neural networks and fuzzy systems, while training fuzzy classifiers. Function approximation is also treated and function approximators are compared.
Book Details
Format
Hardcover
Pages
346 pages
Language
English
Published
Dec 11, 2000
Publisher
Springer
ISBN-10
1852333529
ISBN-13
9781852333522