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Type-2 Fuzzy Neural Networks and Their Applications / by Rafik Aziz Aliev, Babek Ghalib Guirimov.
- Format:
- Book
- Author/Creator:
- Aliev, R. A. (Rafik Aziz ogly), author.
- Guirimov, Babek Ghalib, author.
- Series:
- Computer Science (Springer-11645)
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computational intelligence.
- Neural networks (Computer science).
- Artificial Intelligence.
- Computational Intelligence.
- Mathematical Models of Cognitive Processes and Neural Networks.
- Local Subjects:
- Artificial Intelligence.
- Computational Intelligence.
- Mathematical Models of Cognitive Processes and Neural Networks.
- Physical Description:
- 1 online resource (XIII, 190 pages) : 73 illustrations
- Edition:
- First edition 2014.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2014.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- Fuzzy Sets
- Evolutionary Computing and Type-2 Fuzzy Neural Networks
- Type-1 and Type-2 Fuzzy Neural Networks
- Type-2 Fuzzy Clustering
- Application of Type-2 Fuzzy Neural Networks.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-09072-6
- 9783319090726
- Access Restriction:
- Restricted for use by site license.
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