DocumentCode
991273
Title
Crossover enhancements in GEFREX
Author
Russo, Marco
Author_Institution
Dept. of Phys. & Astron., Catania Univ., Italy
Volume
16
Issue
4
fYear
2005
fDate
7/1/2005 12:00:00 AM
Firstpage
1000
Lastpage
1002
Abstract
This letter describes some improvements to the crossover operator in the genetic-neuro-fuzzy algorithm called genetic fuzzy rule extractor (GEFREX). Although, the new crossovers studied are very simple, the performance of GEFREX, in terms of learning time, is decidedly improved.
Keywords
fuzzy logic; fuzzy neural nets; genetic algorithms; learning (artificial intelligence); GEFREX; crossover enhancement; genetic fuzzy rule extractor; genetic neuro fuzzy algorithm; Acceleration; Fuzzy logic; Fuzzy sets; Genetic algorithms; Least squares approximation; Machine learning; Machine learning algorithms; Neural networks; Phase detection; Supervised learning; Crossover; fuzzy logic; genetic algorithms (GAs); machine learning; neural networks; Algorithms; Computer Simulation; Fuzzy Logic; Models, Statistical; Neural Networks (Computer); Pattern Recognition, Automated;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/TNN.2005.849841
Filename
1461444
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