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Mathematical Problems in Engineering
Volume 2015, Article ID 382395, 10 pages
http://dx.doi.org/10.1155/2015/382395
Research Article

Recognition of Mixture Control Chart Pattern Using Multiclass Support Vector Machine and Genetic Algorithm Based on Statistical and Shape Features

School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China

Received 4 July 2014; Revised 31 October 2014; Accepted 5 November 2014

Academic Editor: Yudong Zhang

Copyright © 2015 Min Zhang and Wenming Cheng. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Min Zhang and Wenming Cheng, “Recognition of Mixture Control Chart Pattern Using Multiclass Support Vector Machine and Genetic Algorithm Based on Statistical and Shape Features,” Mathematical Problems in Engineering, vol. 2015, Article ID 382395, 10 pages, 2015. https://doi.org/10.1155/2015/382395.