Fuzzy Neural Intelligent Systems - Mathematical Foundation and the Applications in Engineering (Hardcover)

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.

General

Imprint:	Crc Press
Country of origin:	United States
Release date:	September 2000
First published:	2001
Authors:	Hong Xing Li • C.L. Philip Chen • Han-Pang Huang
Dimensions:	254 x 178 x 22mm (L x W x T)
Format:	Hardcover
Pages:	392
ISBN-13:	978-0-8493-2360-7
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks Promotions
LSN:	0-8493-2360-6
Barcode:	9780849323607

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