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Toward identifying the source of mean shifts in multivariate SPC: a neural network approach

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References

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2001Insights into neural-network forecasting of time series corresponding to ARMA(p,q) structures123 cited

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2016A control scheme for autocorrelated bivariate binomial data18 cited
2013Identifying change point of a non-random pattern on control chart using artificial neural networks17 cited
2011An integrated supervised learning solution for monitoring process mean vector15 cited
2021A robust meta‐method for interpreting the out‐of‐control signal of multivariate control charts using artificial neural networks14 cited
2013Multivariate process parameter change identification by neural network13 cited
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2012Identification of the change point: an overview10 cited
2015Simultaneous Monitoring of Multivariate-Attribute Process Mean and Variability Using Artificial Neural Networks10 cited