References

• 1995A multi-layer neural network model for detecting changes in the process mean145 cited
• 2001Estimation of the Change Point of a Normal Process Mean in SPC Applications143 cited
• 1998IDENTIFYING THE TIME OF A STEP CHANGE WITH X¯ CONTROL CHARTS142 cited
• 1994Control chart pattern recognition using learning vector quantization networks140 cited
• 1994X -bar and R control chart interpretation using neural computing133 cited
• 2005Fault Diagnosis in Multivariate Control Charts Using Artificial Neural Networks128 cited
• 1993Back-propagation pattern recognizers for control charts: Methodology and performance127 cited
• 1999Recognition of control chart concurrent patterns using a neural network approach111 cited
• 2005A hybrid learning-based model for on-line detection and analysis of control chart patterns103 cited
• 1992Control chart pattern recognition using neural networks98 cited
• 2007A neural network ensemble-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes96 cited
• 2007Identifying the source of variance shifts in the multivariate process using neural networks and support vector machines90 cited
• 2009A proposed framework for control chart pattern recognition in multivariate process using artificial neural networks89 cited
• 2006Feature-based recognition of control chart patterns