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.
Détails du livre
Format
Relié
Pages
346 pages
Langue
Anglais
Publié
déc. 11, 2000
Éditeur
Springer
ISBN-10
1852333529
ISBN-13
9781852333522