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Detecting patterns in process data with fractal dimension
13 references·1 citing·30 second hop
Detecting patterns in process data with fractal dimension (2003)Detecting patterns in process data with f…A fuzzy reasoning based diagnosis system for X control charts (2001)A fuzzy reasoning based diagn…Recognition of control chart concurrent patterns using a neural network approach (1999)Recognition of control chart …A neural network based model for abnormal pattern recognition of control charts (1999)A neural network based model …A neural network approach for the analysis of control chart patterns (1997)A neural network approach for…Out-of-control pattern recognition and analysis for quality control charts using LISP-based systems (1995)Out-of-control pattern recogn…X -bar and R control chart interpretation using neural computing (1994)X -bar and R control chart in…Control chart pattern recognition using learning vector quantization networks (1994)Control chart pattern recogni…X¯ CONTROL CHART PATTERN IDENTIFICATION THROUGH EFFICIENT OFF-LINE NEURAL NETWORK TRAINING (1993)X¯ CONTROL CHART PATTERN IDEN…Back-propagation pattern recognizers for control charts: Methodology and performance (1993)Back-propagation pattern reco…Back propagation artificial neural networks for the analysis of quality control charts (1993)Back propagation artificial n…A comparison of neural networks to SPC charts (1991)A comparison of neural networ…Synthetic neural networks for process control (1989)Synthetic neural networks for…Approach to an irregular time series on the basis of the fractal theory (1988)Approach to an irregular time…Neural networks for detecting cyclic behavior in autocorrelated process (2012)Neural networks for detecting…The Shewhart Control Chart—Tests for Special Causes (1984)Interpreting Shewhart X Control Charts (1985)A neural fuzzy control chart for detecting and classifying process mean shifts (1996)Using radial basis function neural networks to recognize shifts in correlated manufacturing process parameters (1998)A hybrid learning-based model for on-line detection and analysis of control chart patterns (2005)Economic Control of Quality of Manufactured Product. (1932)Economic prediction using neural networks: the case of IBM daily stock returns (1988)A neural network approach to mutual fund net asset value forecasting (1996)Proceedings of the International Joint Conference on Neural Networks, 2003. (2003)A neural network ensemble-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes (2007)One-class classification-based control charts for multivariate process monitoring (2009)Statistical Quality Control (1980)A control chart pattern recognition system using a statistical correlation coefficient method (2005)Simulation Modeling and Analysis. (1983)Statistical Quality Control (1989)Statistical Quality Control (1990)Recognition of concurrent control chart patterns using wavelet transform decomposition and multiclass support vector machines (2013)A cost-sensitive convolution neural network learning for control chart pattern recognition (2020)Exact Results for Shewhart Control Charts With Supplementary Runs Rules (1987)Detecting process mean shift in the presence of autocorrelation: a neural-network based monitoring scheme (2004)Real-Time EEG-Based Human Emotion Recognition and Visualization (2010)Feature Extraction and Selection for Emotion Recognition from EEG (2014)Domain Adaptation Techniques for EEG-Based Emotion Recognition: A Comparative Study on Two Public Datasets (2018)A review of neural networks for statistical process control (1998)A survey of control-chart pattern-recognition literature (1991–2010) based on a new conceptual classification scheme (2012)Control chart pattern recognition using the convolutional neural network (2019)Support vector machines for recognizing shifts in correlated and other manufacturing processes (2002)Artificial neural networks to classify mean shifts from multivariate χ2 chart signals (2004)Feature-based recognition of control chart patterns (2006)Recognition of control chart patterns using improved selection of features (2008)
this work references cited by second hop

References

  • 1988Approach to an irregular time series on the basis of the fractal theory2,164 cited
  • 1997A neural network approach for the analysis of control chart patterns169 cited
  • 1994Control chart pattern recognition using learning vector quantization networks140 cited
  • 1994X -bar and R control chart interpretation using neural computing133 cited
  • 1993Back-propagation pattern recognizers for control charts: Methodology and performance127 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
  • 1989Synthetic neural networks for process control88 cited
  • 1991A comparison of neural networks to SPC charts85 cited
  • 1995Out-of-control pattern recognition and analysis for quality control charts using LISP-based systems81 cited
  • 1993Back propagation artificial neural networks for the analysis of quality control charts27 cited
  • 2001A fuzzy reasoning based diagnosis system for X control charts18 cited

Cited by

  • 2012Neural networks for detecting cyclic behavior in autocorrelated process11 cited

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