DocumentCode
593128
Title
Particle Swarm Optimization of Weighted Fuzzy Neural Network Model
Author
Ming Ma ; Li-Biao Zhang
Author_Institution
Coll. of Inf. Technol., Beihua Univ., Jilin, China
fYear
2012
fDate
6-8 Nov. 2012
Firstpage
58
Lastpage
61
Abstract
Particle Swarm Optimization has been applied in many optimization problems. In this paper, we proposed a new algorithm based on PSO and applied to optimal the weighted fuzzy neural network. It takes some measures to avoid the algorithm into a local convergence and determine the structure of the fuzzy neural network based on the effective rules. Satisfactory results through experiments are obtained.
Keywords
convergence; fuzzy neural nets; fuzzy set theory; particle swarm optimisation; PSO; local convergence; particle swarm optimization; weighted fuzzy neural network model; Algorithm design and analysis; Clustering algorithms; Equations; Fuzzy neural networks; Fuzzy sets; Optimization; Particle swarm optimization; fuzzy neural network; fuzzy rule; particle swarm optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems (GCIS), 2012 Third Global Congress on
Conference_Location
Wuhan
Print_ISBN
978-1-4673-3072-5
Type
conf
DOI
10.1109/GCIS.2012.12
Filename
6449483
Link To Document