DocumentCode
303337
Title
RBF fuzzy controller with virus-evolutionary genetic algorithm
Author
Shimojima, Koji ; Kubota, Naoyuki ; Fukuda, Toshio
Author_Institution
Dept. of Micro Syst. Eng., Nagoya Univ., Japan
Volume
2
fYear
1996
fDate
3-6 Jun 1996
Firstpage
1040
Abstract
We propose a self-tuning fuzzy controller with virus-evolutionary genetic algorithm(VEGA). This learning algorithm is based on the virus theory of evolution. The VEGA can reduce the number of fuzzy rules by reverse transcription operator and transduction operator. The effectiveness of the proposed method is shown through some simulations of a cart-pole problem
Keywords
feedforward neural nets; RBF fuzzy controller; cart-pole problem; fuzzy rules; reverse transcription operator; self-tuning fuzzy controller; transduction operator; virus-evolutionary genetic algorithm; Convergence; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Fuzzy systems; Genetic algorithms; Humans; Neural networks; Shape; Tuning;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1996., IEEE International Conference on
Conference_Location
Washington, DC
Print_ISBN
0-7803-3210-5
Type
conf
DOI
10.1109/ICNN.1996.549041
Filename
549041
Link To Document