Knowledge-Based Neurocomputing: A Fuzzy Logic Approach
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- €119.99
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- €119.99
Publisher 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.
Other Books in This Series
Theory and Practice of Uncertain Programming
2008
Fuzzy Systems in Bioinformatics and Computational Biology
2008
Analytical Methods in Fuzzy Modeling and Control
2009
Fuzzy Preference Ordering of Interval Numbers in Decision Problems
2009
Views on Fuzzy Sets and Systems from Different Perspectives
2009
Modeling Uncertainty with Fuzzy Logic
2009