Descripción
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.
Detalles del libro
Formato
Tapa dura
Páginas
346 páginas
Idioma
Inglés
Publicado
dic. 11, 2000
Editorial
Springer
ISBN-10
1852333529
ISBN-13
9781852333522