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A Research about Pattern Recognition of Control Chart Using Probability Neural Network
7 references·5 citing·45 second hop
A Research about Pattern Recognition of Control Chart Using Probability Neural Network (2008)A Research about Pattern Recognition of C…A study on the various features for effective control chart pattern recognition (2006)A study on the various featur…Robustness of the neural network based control chart pattern recognition system to non‐normality (2002)Robustness of the neural netw…On-line control chart pattern detection and discrimination—a neural network approach (1999)On-line control chart pattern…A neural network based model for abnormal pattern recognition of control charts (1999)A neural network based model …Using radial basis function neural networks to recognize shifts in correlated manufacturing process parameters (1998)Using radial basis function n…A neural network applied to pattern recognition in statistical process control (1998)A neural network applied to p…Back-propagation pattern recognizers for control charts: Methodology and performance (1993)Back-propagation pattern reco…Research on variable-length control chart pattern recognition based on sliding window method and SECNN-BiLSTM (2025)Research on variable-length c…Concurrent Control Chart Pattern Recognition: A Systematic Review (2022)Concurrent Control Chart Patt…Pattern Recognition of Different Window Size Control Charts Based on Convolutional Neural Network and Information Fusion (2020)Pattern Recognition of Differ…Universal versus contextual effects on TQM: a triangulation study using neural networks (2017)Universal versus contextual e…Control chart pattern recognition using neural networks and efficient features: a comparative study (2011)Control chart pattern recogni…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)Forecasting methods and applications (1993)Support vector machines for recognizing shifts in correlated and other manufacturing processes (2002)System Monitoring with Real-Time Contrasts (2012)Recognition of concurrent control chart patterns using wavelet transform decomposition and multiclass support vector machines (2013)Quality Control and Industrial Statistics. (1967)Statistical Quality Control (1990)Introduction to Statistical Quality Control (1992)Artificial neural networks to classify mean shifts from multivariate χ2 chart signals (2004)Statistical Quality Control (1980)The Shewhart Control Chart—Tests for Special Causes (1984)X¯ CONTROL CHART PATTERN IDENTIFICATION THROUGH EFFICIENT OFF-LINE NEURAL NETWORK TRAINING (1993)A control chart pattern recognition system using a statistical correlation coefficient method (2005)Improved SPC chart pattern recognition using statistical features (2003)Application of the PSO–SVM model for recognition of control chart patterns (2010)End-to-End Control Chart Pattern Classification Using a 1D Convolutional Neural Network and Transfer Learning (2021)Control Chart Concurrent Pattern Classification Using Multi-Label Convolutional Neural Networks (2022)Simulation Modeling and Analysis. (1983)Statistical Quality Control (1989)A cost-sensitive convolution neural network learning for control chart pattern recognition (2020)Non‐Normality and the Design of Control Charts for Averages* (1992)A neural network approach for the analysis of control chart patterns (1997)Control chart pattern recognition using an optimized neural network and efficient features (2010)The use of neural networks in statistical process control charts (2011)Identification and quantification of concurrent control chart patterns using extreme-point symmetric mode decomposition and extreme learning machines (2014)Introduction to Statistical Quality Control (1997)An augmented neural network classification approach to detecting mean shifts in correlated manufacturing process parameters (2003)Issues in development of artificial neural network-based control chart pattern recognition schemes (2010)Recognition and classification of single and concurrent unnatural patterns in control charts via neural networks and fitted line of samples (2013)Coefficient Alpha and the Internal Structure of Tests (1951)Estimating Nonresponse Bias in Mail Surveys (1977)Principles and Practice of Structural Equation Modeling (2012)Quality management as a tool for job satisfaction improvement in low-level technology organizations: the case of Ethiopia (2019)Why are manufacturing SMEs cancelling their ISO 9001 certification? Research from Italy (2019)How quality management can enhance performance? A model of relationships mediated by innovation (2021)Statistical bibliography or bibliometrics (1969)Big Data Deep Learning: Challenges and Perspectives (2014)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2020)Multivariate Process Control Chart Pattern Classification Using Multi-Channel Deep Convolutional Neural Networks (2023)Monitoring bivariate autocorrelated process using a deep learning-based control chart: A case study on the car manufacturing industry (2024)A review of artificial intelligence impacting statistical process monitoring and future directions (2026)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)
this work references cited by second hop

References

  • 1993Back-propagation pattern recognizers for control charts: Methodology and performance127 cited
  • 1999A neural network based model for abnormal pattern recognition of control charts115 cited
  • 1998Using radial basis function neural networks to recognize shifts in correlated manufacturing process parameters82 cited
  • 1999On-line control chart pattern detection and discrimination—a neural network approach81 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
  • 1998A neural network applied to pattern recognition in statistical process control40 cited

Cited by

  • 2017Universal versus contextual effects on TQM: a triangulation study using neural networks34 cited
  • 2011Control chart pattern recognition using neural networks and efficient features: a comparative study29 cited
  • 2022Concurrent Control Chart Pattern Recognition: A Systematic Review26 cited
  • 2020Pattern Recognition of Different Window Size Control Charts Based on Convolutional Neural Network and Information Fusion14 cited
  • 2025Research on variable-length control chart pattern recognition based on sliding window method and SECNN-BiLSTM12 cited

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