Estimating the shift size in the process mean with support vector regression and neural networks

Author:

Cheng Chuen-Sheng,Chen Pei-Wen,Huang Kuo-Ko

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference19 articles.

1. Barghash, M. A., & Santarisi, N. S. (2007). Literature survey on pattern recognition in control charts using artificial neural networks. In Proceeding 37th Computers and Industrial Engineering. Alexandria, Egypt (pp. 20–23).

2. A neural fuzzy control chart for detecting and classifying process mean shifts;Chang;International Journal of Production Research,1996

3. Artificial neural networks to classify mean shifts from multivariate chart signals;Chen;Computers and Industrial Engineering,2004

4. Identifying the source of variance shifts in the multivariate process using neural networks and support vector machines;Cheng;Expert Systems with Applications,2008

5. Support vector machines for recognizing shifts in correlated and other manufacturing processes;Chinnam;International Journal of Production Research,2002

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