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An hybrid detection system of control chart patterns using cascaded SVM and neural network–based detector
12 references·2 citing·31 second hop
An hybrid detection system of control chart patterns using cascaded SVM and neural network–based detector (2010)An hybrid detection system of control cha…A study on the various features for effective control chart pattern recognition (2006)A study on the various featur…On-line identification of control chart patterns using self-organizing approaches (2005)On-line identification of con…Features extraction and analysis for classifying causable patterns in control charts (2005)Features extraction and analy…A hybrid learning-based model for on-line detection and analysis of control chart patterns (2005)A hybrid learning-based model…OPTIMIZING FEEDFORWARD NEURAL NETWORKS FOR CONTROL CHART PATTERN RECOGNITION THROUGH GENETIC ALGORITHMS (2004)OPTIMIZING FEEDFORWARD NEURAL…Control chart pattern recognition using back propagation artificial neural networks (2001)Control chart pattern recogni…A neural network approach to characterize pattern parameters in process control charts (1999)A neural network approach to …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…Introduction to Statistical Quality Control (1992)Introduction to Statistical Q…Control chart pattern recognition using neural networks (1992)Control chart pattern recogni…An Introduction to Statistical Quality Control. (1987)An Introduction to Statistica…Enhancing the detection ability of control charts in profile monitoring by adding RBF ensemble model (2022)Enhancing the detection abili…Abnormal Patterns Detection in Control Charts using Classification Techniques (2012)Abnormal Patterns Detection i…Simulation modelling and analysis (1983)Proceedings of the International Joint Conference on Neural Networks, 2003. (2003)Improved recognition of control chart patterns using artificial neural networks (2007)Statistical process control using optimized neural networks: A case study (2013)Quality Control and Industrial Statistics. (1967)Statistical Quality Control (1990)A neural network ensemble-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes (2007)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)The Shewhart Control Chart—Tests for Special Causes (1984)An expert system for control chart pattern recognition (2011)Control chart recognition based on the parallel model of CNN and LSTM with GA optimization (2021)Economic control of quality of manufactured product (1932)Economic Control of Quality of Manufactured Product. (1932)The use of neural networks in statistical process control charts (2011)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)An effective application of decision tree learning for on-line detection of mean shifts in multivariate control charts (2008)Control chart pattern recognition using K-MICA clustering and neural networks (2011)Recognition of control chart patterns using fuzzy SVM with a hybrid kernel function (2015)Control chart pattern recognition using RBF neural network with new training algorithm and practical features (2018)A cost-sensitive convolution neural network learning for control chart pattern recognition (2020)Time-Series Modeling for Statistical Process Control (1988)Statistical process control as a tool for research and healthcare improvement (2003)Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications (2014)Feature-based recognition of control chart patterns (2006)Recognition of control chart patterns using improved selection of features (2008)Quality Control and Industrial Statistics (1988)Quality control of surgical and interventional procedures: a review of the CUSUM (2007)Another Look at the EWMA Control Chart with Estimated Parameters (2015)
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  • 2005A hybrid learning-based model for on-line detection and analysis of control chart patterns103 cited
  • 1992Control chart pattern recognition using neural networks98 cited
  • 1999A neural network approach to characterize pattern parameters in process control charts73 cited
  • 2001Control chart pattern recognition using back propagation artificial neural networks68 cited
  • 2005On-line identification of control chart patterns using self-organizing approaches55 cited
  • 2006A study on the various features for effective control chart pattern recognition54 cited
  • 2005Features extraction and analysis for classifying causable patterns in control charts40 cited
  • 2004OPTIMIZING FEEDFORWARD NEURAL NETWORKS FOR CONTROL CHART PATTERN RECOGNITION THROUGH GENETIC ALGORITHMS31 cited

Cited by

  • 2022Enhancing the detection ability of control charts in profile monitoring by adding RBF ensemble model13 cited
  • 2012Abnormal Patterns Detection in Control Charts using Classification Techniques

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12 cited