Knowledge-Based Neurocomputing: A Fuzzy Logic Approach (Repost)
Eyal Kolman, Michael Margaliot, "Knowledge-Based Neurocomputing: A Fuzzy Logic Approach"
English | 2009 | ISBN: 3540880763 | PDF | pages: 108 | 2.2 mb
English | 2009 | ISBN: 3540880763 | PDF | pages: 108 | 2.2 mb
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.