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Knowledge Based Neurocomputing: A Fuzzy Logic Approach
Knowledge-Based Neurocomputing: A Fuzzy Logic Approach
Product DescriptionIn 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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Fuzzy Logic Theory Fuzzy Logic Approach Fuzzy Rule Base Artificial Neural Network Artificial Neural Networks Theory Yields Standard Tools Equivalence Monograph Input Output Neurocomputing New Approach Merits Product Description Authors Knowledge Novel
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