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Knowledge-Based Neurocomputing: A Fuzzy Logic Approach
Paperback
Series: Studies in Fuzziness and Soft Computing, Book 234
Technology & EngineeringGeneral ComputersGeneral Mathematics
ISBN13: 9783642099854
Publisher: Springer Nature
Published: Oct 21 2010
Pages: 100
Weight: 0.39
Height: 0.25 Width: 6.14 Depth: 9.21
Language: English
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.
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