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Complexity
Volume 2017 (2017), Article ID 2323082, 10 pages
https://doi.org/10.1155/2017/2323082
Research Article

Applying Two-Stage Neural Network Based Classifiers to the Identification of Mixture Control Chart Patterns for an SPC-EPC Process

1Department of Statistics and Information Science, Fu Jen Catholic University, New Taipei City, Taiwan
2Department of Industrial Management, Chien Hsin University of Science and Technology, Zhongli, Taoyuan County 32097, Taiwan

Correspondence should be addressed to Yuehjen E. Shao; wt.ude.ujf.liam@3001tats

Received 7 July 2017; Revised 6 September 2017; Accepted 19 September 2017; Published 22 October 2017

Academic Editor: Yanan Li

Copyright © 2017 Yuehjen E. Shao et al. 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

Yuehjen E. Shao, Po-Yu Chang, and Chi-Jie Lu, “Applying Two-Stage Neural Network Based Classifiers to the Identification of Mixture Control Chart Patterns for an SPC-EPC Process,” Complexity, vol. 2017, Article ID 2323082, 10 pages, 2017. doi:10.1155/2017/2323082