Study on model structure and approximation performance of Support Vector Regression

doi:10.3778/j.issn.1002-8331.2008.32.016

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (32): 53-56.DOI: 10.3778/j.issn.1002-8331.2008.32.016

• 理论研究 • Previous Articles Next Articles

Study on model structure and approximation performance of Support Vector Regression

SI Li-yun,LIN Hui

Automatic College of Northwestern Polytechnical University，Xi’an 710072，China

Received:2007-12-12 Revised:2008-03-26 Online:2008-11-11 Published:2008-11-11
Contact: SI Li-yun

支持向量回归机模型结构及性能的研究

司利云,林辉

西北工业大学自动化学院，西安 710072

通讯作者: 司利云

Abstract

Abstract: The four kinds of model structures of Support Vector Regression（SVR） are introduced，and the three new model structures are presented.The approximation performance of several typical SVR functions is discussed by trial.This paper analyses relative merits of these typical functions，therefore provides one choice method for optimal SVR according to actual condition.

Key words: Support Vector Regression（SVR）, model structure, approximation performance

摘要： 总结了目前提出的四类不同结构的支持向量回归机（Support Vector Regression，SVR）模型，并在此基础上提出了三种新的模型结构，通过试验手段对比了几种典型模型的逼近性能，分析了各个模型在应用中存在的优缺点，为实际应用中采用合适的模型提供一种选择方法。

关键词: 支持向量回归机, 模型结构, 函数逼近性能

SI Li-yun,LIN Hui. Study on model structure and approximation performance of Support Vector Regression[J]. Computer Engineering and Applications, 2008, 44(32): 53-56.

司利云,林辉. 支持向量回归机模型结构及性能的研究[J]. 计算机工程与应用, 2008, 44(32): 53-56.

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Study on model structure and approximation performance of Support Vector Regression

支持向量回归机模型结构及性能的研究

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