DocumentCode
2340825
Title
Automatic fuzzy rule extraction based on particle swarm optimization
Author
Ma, Ming ; Zhou, Chun-Guang ; Zhang, Li-Biao ; Dou, Quan-Sheng
Volume
4
fYear
2004
fDate
26-29 Aug. 2004
Firstpage
2242
Abstract
The extraction of fuzzy rules is always a difficult problem to fuzzy system. We have proposed a pruning algorithm to optimize fuzzy neural network based on particle swarm optimization algorithm. It can evolve both the fuzzy neural network´s topology and weighting parameters. In a real problem, it can automatically obtain the near-optimal structure of fuzzy neural network according to the requirements. The experiment has proved that the method is applicable and efficient.
Keywords
evolutionary computation; fuzzy neural nets; fuzzy systems; optimisation; automatic fuzzy rule extraction; fuzzy neural network; fuzzy system; optimal structure; particle swarm optimization; pruning algorithm; weighting parameters; Birds; Computer science; Educational institutions; Evolutionary computation; Fuzzy neural networks; Fuzzy set theory; Fuzzy systems; Network topology; Neural networks; Particle swarm optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN
0-7803-8403-2
Type
conf
DOI
10.1109/ICMLC.2004.1382172
Filename
1382172
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