Descrição
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.
Detalhes do Livro
Formato
Capa dura
Páginas
346 páginas
Idioma
Inglês
Publicado
dez 11, 2000
Editora
Springer
ISBN-10
1852333529
ISBN-13
9781852333522