Fuzzy Neural Intelligent Systems

Mathematical Foundation and the Applications in Engineering

Nonfiction, Computers, Programming, Systems Analysis, Science & Nature, Technology, Electronics
Cover of the book Fuzzy Neural Intelligent Systems by Hongxing Li, C.L. Philip Chen, Han-Pang Huang, CRC Press
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Author: Hongxing Li, C.L. Philip Chen, Han-Pang Huang ISBN: 9781351835152
Publisher: CRC Press Publication: October 3, 2018
Imprint: CRC Press Language: English
Author: Hongxing Li, C.L. Philip Chen, Han-Pang Huang
ISBN: 9781351835152
Publisher: CRC Press
Publication: October 3, 2018
Imprint: CRC Press
Language: English

Although fuzzy systems and neural networks are central to the field of soft computing, most research work has focused on the development of the theories, algorithms, and designs of systems for specific applications. There has been little theoretical support for fuzzy neural systems, especially their mathematical foundations.

Fuzzy Neural Intelligent Systems fills this gap. It develops a mathematical basis for fuzzy neural networks, offers a better way of combining fuzzy logic systems with neural networks, and explores some of their engineering applications. Dividing their focus into three main areas of interest, the authors give a systematic, comprehensive treatment of the relevant concepts and modern practical applications:

Fundamental concepts and theories for fuzzy systems and neural networks.

Foundation for fuzzy neural networks and important related topics

Case examples for neuro-fuzzy systems, fuzzy systems, neural network systems, and fuzzy-neural systems

Suitable for self-study, as a reference, and ideal as a textbook, Fuzzy Neural Intelligent Systems is accessible to students with a basic background in linear algebra and engineering mathematics. Mastering the material in this textbook will prepare students to better understand, design, and implement fuzzy neural systems, develop new applications, and further advance the field.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Although fuzzy systems and neural networks are central to the field of soft computing, most research work has focused on the development of the theories, algorithms, and designs of systems for specific applications. There has been little theoretical support for fuzzy neural systems, especially their mathematical foundations.

Fuzzy Neural Intelligent Systems fills this gap. It develops a mathematical basis for fuzzy neural networks, offers a better way of combining fuzzy logic systems with neural networks, and explores some of their engineering applications. Dividing their focus into three main areas of interest, the authors give a systematic, comprehensive treatment of the relevant concepts and modern practical applications:

Fundamental concepts and theories for fuzzy systems and neural networks.

Foundation for fuzzy neural networks and important related topics

Case examples for neuro-fuzzy systems, fuzzy systems, neural network systems, and fuzzy-neural systems

Suitable for self-study, as a reference, and ideal as a textbook, Fuzzy Neural Intelligent Systems is accessible to students with a basic background in linear algebra and engineering mathematics. Mastering the material in this textbook will prepare students to better understand, design, and implement fuzzy neural systems, develop new applications, and further advance the field.

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