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An Effective and Novel Neural Network Ensemble for Shift Pattern Detection in Control Charts
16 references·0 citing·30 second hop
An Effective and Novel Neural Network Ensemble for Shift Pattern Detection in Control Charts (2015)An Effective and Novel Neural Network Ens…On-line classifying process mean shifts in multivariate control charts based on multiclass support vector machines (2012)On-line classifying process m…An expert system for control chart pattern recognition (2011)An expert system for control …Recognition of control chart patterns using improved selection of features (2008)Recognition of control chart …Feature-based recognition of control chart patterns (2006)Feature-based recognition of …Development of fuzzy process control charts and fuzzy unnatural pattern analyses (2006)Development of fuzzy process …Recognition of control chart concurrent patterns using a neural network approach (1999)Recognition of control chart …A two-stage neural network approach for process variance change detection and classification (1999)A two-stage neural network ap…Feature-based control chart pattern recognition (1997)Feature-based control chart p…A neural network approach for the analysis of control chart patterns (1997)A neural network approach for…A neural fuzzy control chart for detecting and classifying process mean shifts (1996)A neural fuzzy control chart …Detecting process non-randomness through a fast and cumulative learning ART-based pattern recognizer (1995)Detecting process non-randomn…A multi-layer neural network model for detecting changes in the process mean (1995)A multi-layer neural network …Control chart pattern recognition using learning vector quantization networks (1994)Control chart pattern recogni…Control chart pattern recognition using neural networks (1992)Control chart pattern recogni…A comparison of neural networks to SPC charts (1991)A comparison of neural networ…The Shewhart Control Chart—Tests for Special Causes (1984)The Shewhart Control Chart—Te…Introduction to Statistical Quality Control (1992)Introduction to Statistical Quality Control (2001)Recognition of concurrent control chart patterns using wavelet transform decomposition and multiclass support vector machines (2013)A New Automatic Method for Control Chart Patterns Recognition Based on ConvNet and Harris Hawks Meta Heuristic Optimization Algorithm (2019)A cost-sensitive convolution neural network learning for control chart pattern recognition (2020)CONTINUOUS INSPECTION SCHEMES (1954)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)A neural network based model for abnormal pattern recognition of control charts (1999)Control Chart Tests Based on Geometric Moving Averages (2000)A survey of control-chart pattern-recognition literature (1991–2010) based on a new conceptual classification scheme (2012)A combined machine learning algorithms and DEA method for measuring and predicting the efficiency of Chinese manufacturing listed companies (2020)Fuzzy sets (1965)Quality Control and Industrial Statistics. (1967)Multiple Attribute Decision Making: Methods and Applications (1981)A hybrid fuzzy adaptive sampling – Run rules for Shewhart control charts (2007)Process capability analyses based on fuzzy measurements and fuzzy control charts (2010)Control chart pattern recognition using RBF neural network with new training algorithm and practical features (2018)Fuzzy sets (1996)Mean shifts detection and classification in multivariate process: a neural-fuzzy approach (2002)Artificial neural networks to classify mean shifts from multivariate χ2 chart signals (2004)On‐line Identification and Quantification of Mean Shifts in Bivariate Processes using a Neural Network‐based Approach (2006)Quality, productivity, and competitive position (1982)The Effect of Sample Size on Estimated Limits forXandXControl Charts (1993)Risks and decisions for conservation and environmental management (2005)Risks and Decisions for Conservation and Environmental Management (2005)A review of neural networks for statistical process control (1998)A control chart pattern recognition system using a statistical correlation coefficient method (2005)Control chart pattern recognition using the convolutional neural network (2019)A hybrid learning-based model for on-line detection and analysis of control chart patterns (2005)A neural network ensemble-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes (2007)
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References

  • 1984The Shewhart Control Chart—Tests for Special Causes586 cited
  • 1997A neural network approach for the analysis of control chart patterns169 cited
  • 1995A multi-layer neural network model for detecting changes in the process mean145 cited
  • 1994Control chart pattern recognition using learning vector quantization networks140 cited
  • 1997Feature-based control chart pattern recognition130 cited
  • 2006Development of fuzzy process control charts and fuzzy unnatural pattern analyses115 cited
  • 1999Recognition of control chart concurrent patterns using a neural network approach111 cited
  • 1992Control chart pattern recognition using neural networks98 cited
  • 2008Recognition of control chart patterns using improved selection of features97 cited
  • 1996A neural fuzzy control chart for detecting and classifying process mean shifts90 cited
  • 2006Feature-based recognition of control chart patterns89 cited
  • 1991A comparison of neural networks to SPC charts85 cited
  • 1999A two-stage neural network approach for process variance change detection and classification57 cited
  • 2011An expert system for control chart pattern recognition53 cited
  • 2012On-line classifying process mean shifts in multivariate control charts based on multiclass support vector machines

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53 cited
  • 1995Detecting process non-randomness through a fast and cumulative learning ART-based pattern recognizer52 cited
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