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Rule generation of fuzzy logic systems using a self-organized fuzzy neural network.
- Source :
-
Neurocomputing . Mar2015 Part 3, Vol. 151, p955-962. 8p. - Publication Year :
- 2015
-
Abstract
- This paper proposes an algorithm for creating rules of a fuzzy logic system using a neuro-fuzzy approach. The proposal is based on the results of Juang and Tsao who use a Fuzzy Neural Network (FNN) to generate rules and fuzzy sets from input data. A time series example is solved using our proposal, which is tested using statistical analysis of the residuals of the model. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09252312
- Volume :
- 151
- Database :
- Academic Search Index
- Journal :
- Neurocomputing
- Publication Type :
- Academic Journal
- Accession number :
- 99827663
- Full Text :
- https://doi.org/10.1016/j.neucom.2014.09.079