An On-Line Learning Radial Basis Function Network and Its Application

Nini Wang,Xiaodong Liu,Jianchuan Yin

doi:10.1007/978-3-540-87732-5_22

An On-Line Learning Radial Basis Function Network and Its Application

Nini Wang, Xiaodong Liu + Show 1 more

https://doi.org/10.1007/978-3-540-87732-5_22

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Publication Date: Sep 24, 2008

Citations: 14

Affiliation: Dalian University of Technology, Dalian Maritime University

#Learning Radial Basis Function Network #Sequential Learning Algorithm + Show 8 more

Abstract
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Abstract

To improve the on-line predictive capability of radial basis function (RBF) networks, a novel sequential learning algorithm is developed referred to as sequential orthogonal model selection (SOMS) algorithm. The RBF network is adapted on-line for both network structure and connecting parameters. Based on SOMS algorithm, a multi-step predictive control strategy is introduced and applied to ship control. Simulation results of ship course control experiment demonstrate the applicability and effectiveness of the SOMS algorithm.KeywordsRadial basis function networksequential learningpredictive capabilityship control

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