Neural Networks as Fuzzy Systems
- 1 April 1994
- journal article
- Published by Emerald Publishing in Kybernetes
- Vol. 23 (3) , 7-9
- https://doi.org/10.1108/03684929410059000
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
This publication has 2 references indexed in Scilit:
- Fuzzy sets in approximate reasoning, Part 1: Inference with possibility distributionsFuzzy Sets and Systems, 1991
- Applications of Fuzzy Sets to Systems AnalysisPublished by Springer Nature ,1975