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

by Hongxing Li (Author), C.L. Philip Chen (Author), Han-Pang Huang (Author) "Fuzzy concepts derive from fuzzy phenomena that commonly occur in the natural world ..." (more)

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Product details

Hardcover: 392 pages
Publisher: CRC Press; 1 edition (21 Sep 2000)
Language English
ISBN-10: 0849323606
ISBN-13: 978-0849323607
Product Dimensions: 26.2 x 18.8 x 2.6 cm
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Amazon.co.uk Sales Rank: 3,669,058 in Books (See Bestsellers in Books)

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Product Description

Product Description
Although fuzzy systems and neural networks stand 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. The authors give a systematic, comprehensive treatment of the relevant concepts and important applications.

From the Back Cover
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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Fuzzy concepts derive from fuzzy phenomena that commonly occur in the natural world. Read the first page

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