The Use of Robust Criteria for the Choice of Regression Model by LS-SVM Method

被引：0

作者：

Popov, Alexander A. ^{[1
]}

Boboev, Sharaf A. ^{[1
]}

机构：

[1] NSTU, Dept Theoret & Appl Informat, Novosibirsk, Russia

来源：

2016 13TH INTERNATIONAL SCIENTIFIC-TECHNICAL CONFERENCE ON ACTUAL PROBLEMS OF ELECTRONIC INSTRUMENT ENGINEERING (APEIE), VOL 2 | 2016年

关键词：

robust solution; the cross-validation criterion; the method of pseudo-observations; loss function;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this article researches are conducted in the variants of robust criteria for selection the regression model with the use of LS-SVM method in the conditions of foul data use. For estimation of model parameters uses M-estimation method with the Huber loss function. For the settings of LS-SVM algorithm parameters is used the cross-validation criterion and its robust variants.

引用

页码：313 / 316

页数：4

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