A Parameter Selection Method for Support Vector Interval Regression Model

Yong Qi Chen

doi:10.4028/www.scientific.net/AMM.66-68.626

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 66-68A Parameter Selection Method for Support Vector...

A Parameter Selection Method for Support Vector Interval Regression Model

Abstract:

The support vector interval regression model is an effective method to estimate imprecise data. Parameters of this model is very important in order to obtain the excellent regression result. The flexible polyhedron search algorithm is a fast optimization algorithm. Based on the flexible polyhedron search algorithm, this paper proposes an automatic parameters selection method for the support vector interval regression model. Experiments illustrate the validity and applicability of the support vector interval regression model based on the flexible polyhedron search algorithm.

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Periodical:

Applied Mechanics and Materials (Volumes 66-68)

Pages:

626-630

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.66-68.626

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Online since:

July 2011

Authors:

Yong Qi Chen

Keywords:

Flexible Polyhedron, Parameter Selection, Support Vector Interval Regression Model

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