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Robert Fuller - Introduction to Neuro-fuzzy Systems - 9783790812565 - V9783790812565
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Introduction to Neuro-fuzzy Systems

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Description for Introduction to Neuro-fuzzy Systems Paperback. This guide introduces the basics of neuro-fuzzy systems. Its main purpose is to explain the information processing methods most widely used in fuzzy inference systems, neural networks and neuro-fuzzy systems. Diagrams and numerical exercises with solutions help explain the principles involved. Series: Advances in Intelligent and Soft Computing (Closed). Num Pages: 289 pages, 11 black & white tables, biography. BIC Classification: PBWX; UYA; UYQN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 16. Weight in Grams: 435.
Fuzzy sets were introduced by Zadeh (1965) as a means of representing and manipulating data that was not precise, but rather fuzzy. Fuzzy logic pro­ vides an inference morphology that enables approximate human reasoning capabilities to be applied to knowledge-based systems. The theory of fuzzy logic provides a mathematical strength to capture the uncertainties associ­ ated with human cognitive processes, such as thinking and reasoning. The conventional approaches to knowledge representation lack the means for rep­ resentating the meaning of fuzzy concepts. As a consequence, the approaches based on first order logic and classical probablity theory do not provide an ... Read more

Product Details

Format
Paperback
Publication date
1999
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
289
Condition
New
Series
Advances in Intelligent and Soft Computing (Closed)
Number of Pages
289
Place of Publication
Heidelberg, Germany
ISBN
9783790812565
SKU
V9783790812565
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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