Neuro-Fuzzy Architectures and Hybrid Learning / Edition 1

Neuro-Fuzzy Architectures and Hybrid Learning / Edition 1

by Danuta Rutkowska
     
 

ISBN-10: 379082500X

ISBN-13: 9783790825008

Pub. Date: 12/15/2010

Publisher: Physica-Verlag HD

The main idea of this book is to present novel connectionist architectures of neuro-fuzzy systems, especially those based on the logical approach to fuzzy inference. In addition, hybrid learning methods are proposed to train the networks. The neuro-fuzzy architectures plus hybrid learning are considered as intelligent systems within the framework of computational

…  See more details below

Overview

The main idea of this book is to present novel connectionist architectures of neuro-fuzzy systems, especially those based on the logical approach to fuzzy inference. In addition, hybrid learning methods are proposed to train the networks. The neuro-fuzzy architectures plus hybrid learning are considered as intelligent systems within the framework of computational and artificial intelligence. The book also provides an overview of fuzzy sets and systems, neural networks, learning algorithms (including genetic algorithms and clustering methods), as well as expert systems and perception-based systems which incorporates computing with words.

Product Details

ISBN-13:
9783790825008
Publisher:
Physica-Verlag HD
Publication date:
12/15/2010
Series:
Studies in Fuzziness and Soft Computing Series, #85
Edition description:
Softcover reprint of hardcover 1st ed. 2002
Pages:
288
Product dimensions:
9.21(w) x 6.14(h) x 0.64(d)

Table of Contents

Introduction.- Description of Fuzzy Inference Systems.- Neural Networks and Neuro-Fuzzy Systems.- Neuro-Fuzzy Architectures Based on the Mamdani Approach.- Neuro-Fuzzy Architectures Based on the Logical Approach.- Hybrid Learning Methods.- Intelligent Systems.- Summary.

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >