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
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;
Conference_Titel :
Intelligent Systems (GCIS), 2012 Third Global Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4673-3072-5
DOI :
10.1109/GCIS.2012.12
