The Shape Recognition in Cold Strip Rolling Based on SVM

Yan Wang; Hai Qing Hu

doi:10.4028/www.scientific.net/AMM.427-429.1687

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 427-429The Shape Recognition in Cold Strip Rolling Based...

The Shape Recognition in Cold Strip Rolling Based on SVM

Abstract:

In this paper, a Multi-Classification SVMs classifier in terms of the theory of SVM is presented and which can tell the various properties of panel surface. The sample data is obtained by preprocessing the data which is measured through the flatness detector in the cold-rolled operation. Using the supervised method of one-class-against-the-rest to train Multi-Classification SVMs classifier. Finally, testing the performance of classifier by test data. The simulation results show that the proposed method performs high recognition rate in processing little sample data and has good ability of generalization. To the flatness recognition, this is a new research method.

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Periodical:

Applied Mechanics and Materials (Volumes 427-429)

Pages:

1687-1690

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.427-429.1687

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Online since:

September 2013

Authors:

Yan Wang*, Hai Qing Hu

Keywords:

Classifier, Flatness Recognition, Multi-Classification SVMs, SVM

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* - Corresponding Author

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