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- W2348465750 abstract "Support vector regression machine can establish the expenses estimate model according to the structural risk minimization principle.It performs better prediction accuracy in the small sample estimated,but there are not a set of integrity theories for choosing the kernel of SVM.If the character of sample data is different,choosing the same kernel is not in reason.Research on the single kernel, hybrid kernel and the weight of the hybrid kernel is still for from maturation.In this study,the optimal kernel SVM which considers the influence of all the parameters is proposed for predicting the equipment expenses.This method take the predict error as the optimal object and analyses the influence of the basic parameters and the kernel parameters to the choosing the kernel.Then it can determine the oplimal kernel function.Empirical results show that the oplimal kernel method which considers all the parameters possesses superior prediction accuracy when compared to other kernel function." @default.
- W2348465750 created "2016-06-24" @default.
- W2348465750 creator A5033186037 @default.
- W2348465750 date "2012-01-01" @default.
- W2348465750 modified "2023-09-28" @default.
- W2348465750 title "Expensive Prediction based on the Optimal Kernel Function SVM" @default.
- W2348465750 hasPublicationYear "2012" @default.
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