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Knowledge-Based Neurocomputing: A Fuzzy Logic Approach

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Knowledge-Based Neurocomputing: A Fuzzy Logic Approach by Eyal Kolman
$437.99
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Description

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.
Release date NZ
January 17th, 2009
Country of Publication
Germany
Illustrations
1 Tables, black and white; XVI, 100 p.
Imprint
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Pages
100
Dimensions
156x234x7
ISBN-13
9783540880769
Product ID
2751106

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