Описание
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.
Детали книги
Формат
Kindle
Страницы
346 страниц
Язык
Английский
Опубликовано
дек 6, 2012
Издатель
Springer
Издания
Изданий: 2
ISBN-10
1447102851
ISBN-13
9781447102854