Overview
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.
- | Author: Eyal Kolman
- | Publisher: Springer
- | Publication Date: Jan 17, 2009
- | Number of Pages: 100 pages
- | Binding: Hardback or Cased Book
- | ISBN-10: 3540880763
- | ISBN-13: 9783540880769
