In our previous papers, fuzzy model identification methods were discussed. The bacterial evolutionary algorithm for extracting fuzzy rule base from a training set was presented. The Levenberg-Marquardt method was also proposed for determining membership functions in fuzzy systems. The combination of
Rule-extraction by backpropagation of polyhedra
โ Scribed by F. Maire
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 450 KB
- Volume
- 12
- Category
- Article
- ISSN
- 0893-6080
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โฆ Synopsis
The core problem of rule-extraction from feed-forward networks is an inversion problem. In this article, we solve this inversion problem by backpropagating unions of polyhedra. We obtain as a by-product a new rule-extraction technique for which the fidelity of the extracted rules can be made arbitrarily high.
๐ SIMILAR VOLUMES
The main objective of this paper is to indicate how the learning process of a neural control system by backpropagation through time (BTT) is influenced by the structure of the control system, the dynamics of the plant and the parameters of the learning process. Since the analysis of a linear system