説明
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.
本の詳細
形式
キンドル
ページ数
346ページ
言語
英語
公開されました
12月 6, 2012
出版社
Springer
版
2 版
ISBN-10
1447102851
ISBN-13
9781447102854