点击次数：

论文类型：期刊论文

发表时间：2008-12-01

发表刊物：NEUROCOMPUTING

收录刊物：SCIE、EI、Scopus

卷号：72

期号：1-3

页面范围：471-479

ISSN号：0925-2312

关键字：Wavelet network; Support vector machine; Hidden neurons selection; Ridge regression

摘要：A 1-norm support vector machine stepwise (SVMS) algorithm is proposed for the hidden neurons selection of wavelet networks (WNs). In this new algorithm, the linear programming support vector machine (LPSVM) is employed to pre-select the hidden neurons, and then a stepwise selection algorithm based on ridge regression is introduced to select hidden neurons from the pre-selection. The main advantages of the new algorithm are that it can get rid of the influence of the ill conditioning of the matrix and deal with the problems that involve a great number of candidate neurons or a large size of samples. Four examples are provided to illustrate the efficiency of the new algorithm. (c) 2007 Elsevier B.V. All rights reserved.