Key Problem in Support Vector Machine Model

Xi Long Qu; Mi An Dai; Zhen Hui Li

doi:10.4028/www.scientific.net/AMM.34-35.1351

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Key Problem in Support Vector Machine Model
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 34-35Key Problem in Support Vector Machine Model

Key Problem in Support Vector Machine Model

Abstract:

This study found the development direction of SVM, the research content is the most crucial and fundamental nature in SVM, if achieve this paper targets, it will promote the further application of SVM, and have important theoretical value; In addition, this study are The basic work of nuclear analytical methods, the results can be directly applied to the field of recognition pattern based on nuclear analytical methods (such as Kernel Principal Component Analysis and Kernel Fisher method), so the research results of this paper has good generalized values.

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Periodical:

Applied Mechanics and Materials (Volumes 34-35)

Pages:

1351-1354

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.34-35.1351

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Online since:

October 2010

Authors:

Xi Long Qu, Mi An Dai, Zhen Hui Li

Keywords:

Model, Parameter Selection, Support Vector Machine (SVM)

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