Journal of Hebei University(Natural Science Edition) >

2001 , Vol. 21 >Issue 1: 7 - 8

DOI: https://doi.org/10.3969/j.issn.1000-1565.2001.01.003

Function Simulation Based on Support Vector Machine

  • Li Kai ,
  • Guo Zi-xue
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Online published: 2001-02-25

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Abstract

Support Vector Machine (SVM)is an effective and ge neral method for representing complex function in high dimensional space.A nonli near regression algorithm based on SVM is presented to make functi on simulation.

Cite this article

Li Kai , Guo Zi-xue . Function Simulation Based on Support Vector Machine[J]. Journal of Hebei University(Natural Science Edition), 2001 , 21(1) : 7 -8 . DOI: 10.3969/j.issn.1000-1565.2001.01.003

References

[1] 萧嵘, 王继成, 张福炎. 支持向量机理论综述 [J]. 计算机科学 2000.doi:10.3969/j.issn.1002-137X.2000.03.001
[2] 田盛丰, 黄厚宽, Tian Shengfeng, Huang Houkuan. 支持向量机多专家决策算法 [J]. 模式识别与人工智能 2000.doi:10.3969/j.issn.1003-6059.2000.02.009
[3] 关治, 陆金甫. 数值分析基础 [M]. 北京:高等教育出版社 1998.
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