Research on Smooth Support Vector Regression Based on Hermite

Bin Ren; Liang Lun Cheng

doi:10.4028/www.scientific.net/AMR.255-260.2215

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 255-260Research on Smooth Support Vector Regression Based...

Research on Smooth Support Vector Regression Based on Hermite

Abstract:

Polynomial smooth techniques are applied to Support Vector Regression model by an accurate smooth approximation which is offered by Hermite Interpolation polynomial. We use Hermite Interpolation to generate a new polynomial smooth function which is proposed for the function in ε-insensitive support vector regression of interpolation functions. Their important property is discussed. It can be shown that the approximation accuracy and smoothing rank of polynomial functions can be as high as required.

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Periodical:

Advanced Materials Research (Volumes 255-260)

Pages:

2215-2219

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.255-260.2215

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Online since:

May 2011

Authors:

Bin Ren, Liang Lun Cheng

Keywords:

Polynomial Function, Smooth, Support Vector Regression (SVR)

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