Type-2 Fuzzy Neural Networks and Their Applications

✍ Scribed by Rafik Aziz Aliev, Babek Ghalib Guirimov (auth.)

Publisher: Springer International Publishing
Year: 2014
Tongue: English
Leaves: 203
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book deals with the theory, design principles, and application of hybrid intelligent systems using type-2 fuzzy sets in combination with other paradigms of Soft Computing technology such as Neuro-Computing and Evolutionary Computing. It provides a self-contained exposition of the foundation of type-2 fuzzy neural networks and presents a vast compendium of its applications to control, forecasting, decision making, system identification and other real problems. Type-2 Fuzzy Neural Networks and Their Applications is helpful for teachers and students of universities and colleges, for scientists and practitioners from various fields such as control, decision analysis, pattern recognition and similar fields.

✦ Table of Contents

Front Matter....Pages i-xiii
Fuzzy Sets....Pages 1-62
Evolutionary Computing and Type-2 Fuzzy Neural Networks....Pages 63-78
Type-1 and Type-2 Fuzzy Neural Networks....Pages 79-152
Type-2 Fuzzy Clustering....Pages 153-166
Application of Type-2 Fuzzy Neural Networks....Pages 167-185
Back Matter....Pages 187-190

✦ Subjects

Artificial Intelligence (incl. Robotics); Computational Intelligence; Mathematical Models of Cognitive Processes and Neural Networks

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