Beskrivning
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.
Bokdetaljer
Format
Inbunden
Sidor
346 sidor
Språk
Engelska
Publicerad
dec 11, 2000
Förlag
Springer
ISBN-10
1852333529
ISBN-13
9781852333522