Neurolinguistic identification of nonlinear dependences |
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| Authors: | A. P. Rotshtein Y. I. Mityushkin |
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| Affiliation: | (1) Jerusalem Polytechnic Institute, Jerusalem, Israel;(2) Vinnitsa State Technical University, Vinnitsa, Ukraine |
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| Abstract: | A method is proposed for the identification of nonlinear dependences on the basis of a composition of a fuzzy knowledge base
and a neural network. The structure of a neurofuzzy network that is isomorphic to a system of linguistic statements of the
form “if-then” is specified, and analytical models for training are obtained. The efficiency of the proposed method of identification
is illustrated by a computer experiment.
Translatedfrom Kibernetika i Sistemnyi Analiz, No. 2, pp. 37–44, March–April, 2000 |
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| Keywords: | neural networks, neurolinguistic identification of objects fuzzy logic, expert knowledge bases fuzzy knowledge bases linguistic approximators universal approximators of complicated functional dependences training of neurofuzzy networks analytical models for training networks comparison of neural and neurofuzzy networks |
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