A Rough-Fuzzy RBF Neural Network Based on PSO Algorithm

Jing Zhao

doi:10.4028/www.scientific.net/AMR.710.617

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 710A Rough-Fuzzy RBF Neural Network Based on PSO...

A Rough-Fuzzy RBF Neural Network Based on PSO Algorithm

Abstract:

A Rough-Fuzzy RBF Neural Network was raised based on PSO Algorithm. In this model,gives a knowledge acquisition method that based on rough set theory,the Rough-Fuzzy RBF neural network are constructed according to the results of the knowledge acquisition,the PSO are used to optimize the network parameters.This paper take number plate for example to conduct a simulation experiment.The results shows that the model can simplify the network training sample,optimize the network structure and enhance the systems study efficiency and the precision.

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Periodical:

Advanced Materials Research (Volume 710)

Pages:

617-622

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.710.617

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Online since:

June 2013

Authors:

Jing Zhao

Keywords:

Fuzzy Rough Set, PSO Algorithm, RBF Neural Network, Reduction Introduction

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