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Knowledge-Based Neurocomputing: A Fuzzy Logic Approach (Hardcover, 2009 ed.) Loot Price: R2,926
Discovery Miles 29 260
Repayment Terms: R274 pm x 12*
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Knowledge-Based Neurocomputing: A Fuzzy Logic Approach (Hardcover, 2009 ed.): Eyal Kolman, Michael Margaliot

Knowledge-Based Neurocomputing: A Fuzzy Logic Approach (Hardcover, 2009 ed.)

Eyal Kolman, Michael Margaliot

Series: Studies in Fuzziness and Soft Computing, 234

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Loot Price R2,926 Discovery Miles 29 260 | Repayment Terms: R274 pm x 12*

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In this monograph, the authors introduce a novel fuzzy rule-base, referred to as the Fuzzy All-permutations Rule-Base (FARB). They show that inferring the FARB, using standard tools from fuzzy logic theory, yields an input-output map that is mathematically equivalent to that of an artificial neural network. Conversely, every standard artificial neural network has an equivalent FARB. The FARB-ANN equivalence integrates the merits of symbolic fuzzy rule-bases and sub-symbolic artificial neural networks, and yields a new approach for knowledge-based neurocomputing in artificial neural networks.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Studies in Fuzziness and Soft Computing, 234
Release date: 2009
First published: 2009
Authors: Eyal Kolman • Michael Margaliot
Dimensions: 235 x 155 x 7mm (L x W x T)
Format: Hardcover
Pages: 100
Edition: 2009 ed.
ISBN-13: 978-3-540-88076-9
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
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LSN: 3-540-88076-3
Barcode: 9783540880769

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