Title: Research on Non-Linear System Prediction Based on Least Squares Support Vector Machines
Abstract: Chosen the radial basis function(RBF) as kernel function,least squares support vector machines(LSSVM) is used for non-linear system prediction.And presents the methodology steps of this method in details.Compared with back propagation neural networks(BPNN),the simulation experimental results show that LSSVM achieves higher prediction error precision,and has higher generalization performance.
Publication Year: 2012
Publication Date: 2012-01-01
Language: en
Type: article
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