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About Knowledge-Based Neurocomputing: A Fuzzy Logic Approach
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.
Detailed Information
| Author: | Eyal Kolman, Michael Margaliot (auth.) |
|---|---|
| Publication Year: | 2009 |
| ISBN: | 3540880763 |
| Pages: | 108 |
| Language: | English |
| File Size: | 2.168 |
| Format: | |
| Price: | FREE |
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