Title :
Automatic generating fuzzy rules with a particle swarm optimization
Author :
Ma, Ming ; Zhou, Chun-Guang ; Zhang, Li-Biao ; Dou, Quan-Sheng
Author_Institution :
Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
Abstract :
We have proposed a pruning algorithm to obtain the desirable fuzzy rules based on particle swarm optimization. Compared the standard particle swarm optimization, in the proposed algorithm we adopted a binary value vector and a real values vector to represent a solution, and used the different equation to update the different parameters. Numerical simulations show the effectiveness of the proposed algorithm.
Keywords :
fuzzy neural nets; fuzzy set theory; knowledge acquisition; particle swarm optimisation; binary value vector; fuzzy neural network; fuzzy rule generation; numerical simulation; particle swarm optimization; pruning algorithm; Cognition; Computer science; Educational institutions; Educational technology; Equations; Fuzzy neural networks; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Particle swarm optimization; Particle swarm optimization; fuzzy neural network; pruning algorithm;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527952
