Information-Applied Technology with Nonlinear System Modeling Method of Elman Network Based on Particle Swarm Optimization

Yan Ming Wei; Hua Ping Li; Hai Long Gao

doi:10.4028/www.scientific.net/AMR.952.307

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 952Information-Applied Technology with Nonlinear...

Information-Applied Technology with Nonlinear System Modeling Method of Elman Network Based on Particle Swarm Optimization

Abstract:

In order to improve the modeling ability for nonlinear system, an Elman modeling method based on Particle Swarm Optimization (PSO) algorithm is proposed. It uses PSO algorithm to optimize the parameters of Elman network. The simulation result shows that the proposed hybrid method combined Elman with PSO algorithm has a good modeling performance with fast training rate for complex nonlinear system.

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Periodical:

Advanced Materials Research (Volume 952)

Pages:

307-310

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.952.307

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Online since:

May 2014

Authors:

Yan Ming Wei*, Hua Ping Li, Hai Long Gao

Keywords:

Elman Network, Neural Network (NN), Nonlinear System, Particle Swarm Optimization (PSO)

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* - Corresponding Author

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