Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

On-line control chart pattern detection and discrimination—a neural network approach

16 references·16 citing·32 second hopsampled

FromToDepth

this work references cited by second hop· second hop is a sample of the most-cited connections

References

1992Introduction to Statistical Quality Control7,842 cited
1967Quality Control and Industrial Statistics.1,001 cited
1990Statistical Quality Control885 cited
1983Simulation modelling and analysis751 cited
1984The Shewhart Control Chart—Tests for Special Causes586 cited
1982Combined Shewhart-CUSUM Quality Control Schemes445 cited
1997Introduction to Statistical Quality Control379 cited
1988Quality Control and Industrial Statistics209 cited
1997A neural network approach for the analysis of control chart patterns169 cited
1985Interpreting Shewhart X Control Charts147 cited
1994Control chart pattern recognition using learning vector quantization networks140 cited
1997Statistical Quality Control134 cited
1993Back-propagation pattern recognizers for control charts: Methodology and performance127 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
1992Identification of change structure in statistical process control

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

99 cited

Cited by

2004Artificial neural networks to classify mean shifts from multivariate χ2 chart signals72 cited
2006A study on the various features for effective control chart pattern recognition54 cited
2002Robustness of the neural network based control chart pattern recognition system to non‐normality49 cited
2011The use of neural networks in statistical process control charts43 cited
2013Identifying technological opportunities using the novelty detection technique: a case of laser technology in semiconductor manufacturing40 cited
2004Adaptive resonance theory-based neural algorithms for manufacturing process quality control39 cited
2010Issues in development of artificial neural network-based control chart pattern recognition schemes37 cited
2008A Research about Pattern Recognition of Control Chart Using Probability Neural Network35 cited
2009Control chart pattern recognition using feature-based learning vector quantization32 cited
2004OPTIMIZING FEEDFORWARD NEURAL NETWORKS FOR CONTROL CHART PATTERN RECOGNITION THROUGH GENETIC ALGORITHMS31 cited
2021On-line concurrent control chart pattern recognition using singular spectrum analysis and random forest28 cited
2012Pattern recognition for bivariate process mean shifts using feature-based artificial neural network28 cited
2011Recognition of unnatural patterns in process control charts through combining two types of neural networks27 cited
2022Concurrent Control Chart Pattern Recognition: A Systematic Review26 cited
2008Using an MQE chart based on a self-organizing map NN to monitor out-of-control signals in manufacturing processes22 cited
2013Recognition and classification of single and concurrent unnatural patterns in control charts via neural networks and fitted line of samples19 cited