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
Kindle
Pages
346 pages
Language
English
Published
Dec 6, 2012
Publisher
Springer
Editions
2 editions
ISBN-10
1447102851
ISBN-13
9781447102854