Study on Supply Chain Partner Selection Based on Support Vector Machine

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SVM is a novel machine learning technique developed on empirical risk minimization principle. SVM has many advantages in solving small sample size, nonlinear and high dimensional pattern recognition problem. Based on the study of SVM, this paper discusses its application in the supply chain partner selection that provides a reference for enterprise to select the partner.

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Periodical:

Edited by:

Dongye Sun, Wen-Pei Sung and Ran Chen

Pages:

4779-4783

Citation:

W. B. Li "Study on Supply Chain Partner Selection Based on Support Vector Machine", Applied Mechanics and Materials, Vols. 121-126, pp. 4779-4783, 2012

Online since:

October 2011

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$38.00

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