설명
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.
책 세부 정보
형식
킨들
페이지
346 페이지
언어
영어
출판됨
12월 6, 2012
출판사
Springer
판본
판본 2개
ISBN-10
1447102851
ISBN-13
9781447102854