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Indexed by:会议论文

Date of Publication:2014-07-06

Included Journals:EI、CPCI-S、Scopus

Page Number:3284-3288

Abstract:This paper proposed a robust structure selection method of radial basis function (RBF) networks for nonlinear system identification problems. A greedy algorithm is first employed by combining information criteria with the forward stepwise selection to choose the RBF network structures. Then, a robust selection procedure, which can select a concise and generalized network structure, is developed based on the forward stepwise selection and the subsampling method. Finally, a numerical example is given to illustrate the effectiveness of the proposed method by using the disturbance storm time index data.