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Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks

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Knowledge-Based Neurocomputing: A Fuzzy Logic Approach (Hardcover, 2009 ed.) Loot Price: R2,853

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Repayment Terms: R267 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 R2,853 Discovery Miles 28 530 | Repayment Terms: R267 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 Promotions
LSN:	3-540-88076-3
Barcode:	9783540880769