Research on Nonlinear Identification Model of Wavelet Neural Network Trained by Artificial Fish Swarm Algorithm

Xu Sheng Gan; Hai Long Gao

doi:10.4028/www.scientific.net/AMM.602-605.1920

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Research on Nonlinear Identification Model of...

Research on Nonlinear Identification Model of Wavelet Neural Network Trained by Artificial Fish Swarm Algorithm

Abstract:

To describe the complex nonlinear characteristics of a system accurately, a Wavelet Neural Network (WNN) identification model based on Artificial Fish Swarm (AFS) algorithm is proposed. In the identification model, AFS algorithm is introduced to optimize the parameters combination of the network for the satisfactory WNN model. The simulation shows that, the proposed method is a good nonlinear identification capability, and is feasible to identify the nonlinear system.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

1920-1923

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.1920

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Online since:

August 2014

Authors:

Xu Sheng Gan*, Hai Long Gao

Keywords:

Artificial Fish Swarm Algorithm, Nonlinear System, Optimization Process, Wavelet Neural Network

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* - Corresponding Author

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