Generalized PSO algorithm — an application to Lorenz system identification by means of neural-networks

Abstract

In this paper a new, generalized PSO (GPSO) algorithm is presented and analyzed, both theoretically and empirically. The new optimizer enables direct control over the properties of the search process. In addition, PSO is addressed in conceptually different manner, revealing further aspects of the algorithm behavior. GPSO is applied for training radial basis… (More)

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Cite this paper

@article{Rapaic2008GeneralizedPA, title={Generalized PSO algorithm — an application to Lorenz system identification by means of neural-networks}, author={M. R. Rapaic and Zeljko Kanovic and Z. D. Jelicic and Dusan Petrovacki}, journal={2008 9th Symposium on Neural Network Applications in Electrical Engineering}, year={2008}, pages={31-35} }