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Application of the PSO-RBFNN model for recognition of control chart patterns
12 references·2 citing·36 second hop
Application of the PSO-RBFNN model for recognition of control chart patterns (2011)Application of the PSO-RBFNN model for re…Decision tree based control chart pattern recognition (2008)Decision tree based control c…Identification of control chart patterns using wavelet filtering and robust fuzzy clustering (2007)Identification of control cha…Parallel Algorithm for Control Chart Pattern Recognition (2006)Parallel Algorithm for Contro…A study on the various features for effective control chart pattern recognition (2006)A study on the various featur…Introduction to Statistical Quality Control (2005)Introduction to Statistical Q…A control chart pattern recognition system using a statistical correlation coefficient method (2005)A control chart pattern recog…Adaptive resonance theory-based neural algorithms for manufacturing process quality control (2004)Adaptive resonance theory-bas…A new ann model and its application in pattern recognition of control charts (2004)A new ann model and its appli…Robustness of the neural network based control chart pattern recognition system to non‐normality (2002)Robustness of the neural netw…AUTOMATED UNNATURAL PATTERN RECOGNITION ON CONTROL CHARTS USING CORRELATION ANALYSIS TECHNIQUES (1997)AUTOMATED UNNATURAL PATTERN R…Out-of-control pattern recognition and analysis for quality control charts using LISP-based systems (1995)Out-of-control pattern recogn…Identification of change structure in statistical process control (1992)Identification of change stru…Ensemble Classifier for Recognition of Small Variation in X-Bar Control Chart Patterns (2023)Ensemble Classifier for Recog…A Hierarchical System for Recognition of Control Chart Patterns (2018)A Hierarchical System for Rec…Control chart pattern recognition using learning vector quantization networks (1994)A neural network approach for the analysis of control chart patterns (1997)Wavelet-based multiscale statistical process monitoring: A literature review (2004)Control chart pattern recognition using an optimized neural network and efficient features (2010)Identification and quantification of concurrent control chart patterns using extreme-point symmetric mode decomposition and extreme learning machines (2014)Recognition of mixture control chart patterns based on fusion feature reduction and fireworks algorithm-optimized MSVM (2018)Self-Starting Cusum Charts for Location and Scale (1987)A neural fuzzy control chart for detecting and classifying process mean shifts (1996)A neural network approach to characterize pattern parameters in process control charts (1999)On-line control chart pattern detection and discrimination—a neural network approach (1999)The Shewhart Control Chart—Tests for Special Causes (1984)Introduction to Statistical Quality Control (1992)Introduction to Statistical Quality Control (2001)A hybrid approach for identification of concurrent control chart patterns (2008)A Fuzzy Hybrid Approach for Fuzzy Process FMEA: An Application to a Spindle Manufacturing Process (2012)Monitoring general linear profiles using simultaneous confidence sets schemes (2013)Improved SPC chart pattern recognition using statistical features (2003)Control chart pattern recognition using a novel hybrid intelligent method (2010)Control chart pattern recognition using spectral clustering technique and support vector machine under gamma distribution (2022)Statistical Quality Control (1990)Improved recognition of control chart patterns using artificial neural networks (2007)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)Non‐Normality and the Design of Control Charts for Averages* (1992)The use of neural networks in statistical process control charts (2011)Quality planning and analysis (1970)Recognition of control chart patterns using fuzzy SVM with a hybrid kernel function (2015)Application of integrated recurrent neural network with multivariate adaptive regression splines on SPC-EPC process (2020)Control chart pattern recognition using neural networks and efficient features: a comparative study (2011)Control chart patterns recognition using ANFIS with new training algorithm and intelligent utilization of shape and statistical features (2019)Feature-based recognition of control chart patterns (2006)An Improved Weighted Correlation Coefficient Based on Integrated Weight for Interval Neutrosophic Sets and its Application in Multi-criteria Decision-making Problems (2015)A cost-sensitive convolution neural network learning for control chart pattern recognition (2020)A control chart based on a change-point model for monitoring linear profiles (2006)Effects of Parameter Estimation on Control Chart Properties: A Literature Review (2006)An overview of theory and practice on process capability indices for quality assurance (2008)
this work references cited by second hop

References

  • 2005Introduction to Statistical Quality Control954 cited
  • 2005A control chart pattern recognition system using a statistical correlation coefficient method114 cited
  • 1992Identification of change structure in statistical process control99 cited
  • 1995Out-of-control pattern recognition and analysis for quality control charts using LISP-based systems81 cited
  • 2008Decision tree based control chart pattern recognition57 cited
  • 2006A study on the various features for effective control chart pattern recognition54 cited
  • 2007Identification of control chart patterns using wavelet filtering and robust fuzzy clustering53 cited
  • 2002Robustness of the neural network based control chart pattern recognition system to non‐normality49 cited
  • 2004Adaptive resonance theory-based neural algorithms for manufacturing process quality control39 cited
  • 1997AUTOMATED UNNATURAL PATTERN RECOGNITION ON CONTROL CHARTS USING CORRELATION ANALYSIS TECHNIQUES37 cited
  • 2004A new ann model and its application in pattern recognition of control charts17 cited
  • 2006Parallel Algorithm for Control Chart Pattern Recognition16 cited

Cited by

  • 2023Ensemble Classifier for Recognition of Small Variation in X-Bar Control Chart Patterns12 cited
  • 2018A Hierarchical System for Recognition of Control Chart Patterns

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10 cited