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Simultaneous process mean and variance monitoring using artificial neural networks

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References

1983Simulation Modeling and Analysis.8,697 cited
1992Introduction to Statistical Quality Control7,842 cited
1990Statistical Quality Control885 cited
2001Introduction to Statistical Quality Control770 cited
1984The Shewhart Control Chart—Tests for Special Causes586 cited
1982Combined Shewhart-CUSUM Quality Control Schemes445 cited
1992Statistical Quality Design and Control: Contemporary Concepts and Methods216 cited
2003Improved SPC chart pattern recognition using statistical features175 cited
1997A neural network approach for the analysis of control chart patterns169 cited
1985Interpreting Shewhart X Control Charts147 cited
1997Statistical Quality Control134 cited
1994X -bar and R control chart interpretation using neural computing133 cited
1999A neural network based model for abnormal pattern recognition of control charts115 cited
1999Recognition of control chart concurrent patterns using a neural network approach111 cited
1993X¯ CONTROL CHART PATTERN IDENTIFICATION THROUGH EFFICIENT OFF-LINE NEURAL NETWORK TRAINING104 cited
2005

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A hybrid learning-based model for on-line detection and analysis of control chart patterns

103 cited

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2021The optimized CUSUM and EWMA multi-charts for jointly detecting a range of mean and variance change9 cited
2013A Hybrid Learning-Based Model for Simultaneous Monitoring of Process Mean and Variance9 cited