Type-2 Fuzzy Neural Networks and Their Applications

  • Rafik Aziz Aliev
  • Babek Ghalib Guirimov

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Rafik Aziz Aliev, Babek Ghalib Guirimov
    Pages 1-62
  3. Rafik Aziz Aliev, Babek Ghalib Guirimov
    Pages 63-78
  4. Rafik Aziz Aliev, Babek Ghalib Guirimov
    Pages 79-152
  5. Rafik Aziz Aliev, Babek Ghalib Guirimov
    Pages 153-166
  6. Rafik Aziz Aliev, Babek Ghalib Guirimov
    Pages 167-185
  7. Back Matter
    Pages 187-190

About this book

Introduction

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.

Keywords

DEO based network training differential evolution evolutionary computing fuzzy neural network fuzzy set fuzzy wavelet neural network neural network recurrent neural network type-2 fuzzy neural network type-2 fuzzy set

Authors and affiliations

  • Rafik Aziz Aliev
    • 1
  • Babek Ghalib Guirimov
    • 2
  1. 1.Azerbaijan State Oil AcademyBakuAzerbaijan
  2. 2.SOCARBakuAzerbaijan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-09072-6
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-09071-9
  • Online ISBN 978-3-319-09072-6
  • About this book
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