Neural Networks as Fuzzy Systems
Constantin Virgil Negoita
(City University of New York, USA)
523
Abstract
Any fuzzy system is a knowledge‐based system which implies an inference engine. Proposes neural networks as a means of performing the inference. Using the Theorem of Representation proposes an encoding scheme that allows the neural network to be trained to perform modus ponens.
Keywords
Citation
Virgil Negoita, C. (1994), "Neural Networks as Fuzzy Systems", Kybernetes, Vol. 23 No. 3, pp. 7-9. https://doi.org/10.1108/03684929410059000
Publisher
:MCB UP Ltd
Copyright © 1994, Company