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Control chart recognition based on the parallel model of CNN and LSTM with GA optimization
16 references·9 citing·25 second hop
Control chart recognition based on the parallel model of CNN and LSTM with GA optimization (2021)Control chart recognition based on the pa…A cost-sensitive convolution neural network learning for control chart pattern recognition (2020)A cost-sensitive convolution …A New Automatic Method for Control Chart Patterns Recognition Based on ConvNet and Harris Hawks Meta Heuristic Optimization Algorithm (2019)A New Automatic Method for Co…Control chart pattern recognition using RBF neural network with new training algorithm and practical features (2018)Control chart pattern recogni…A novel approach for recognition of control chart patterns: Type-2 fuzzy clustering optimized support vector machine (2016)A novel approach for recognit…Statistical process control using optimized neural networks: A case study (2013)Statistical process control u…Mixture control chart patterns recognition using independent component analysis and support vector machine (2011)Mixture control chart pattern…Control chart pattern recognition using K-MICA clustering and neural networks (2011)Control chart pattern recogni…An expert system for control chart pattern recognition (2011)An expert system for control …Control chart pattern recognition using a novel hybrid intelligent method (2010)Control chart pattern recogni…Application of the PSO–SVM model for recognition of control chart patterns (2010)Application of the PSO–SVM mo…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 …A study on the various features for effective control chart pattern recognition (2006)A study on the various featur…Improved SPC chart pattern recognition using statistical features (2003)Improved SPC chart pattern re…Control Chart Pattern Recognition Using Artificial Neural Networks (2000)Control Chart Pattern Recogni…Feature-based control chart pattern recognition (1997)Feature-based control chart p…A review of artificial intelligence impacting statistical process monitoring and future directions (2026)A review of artificial intell…Explainable AI for trustworthy intelligent process monitoring (2025)Explainable AI for trustworth…Monitoring multistage healthcare processes using state space models and a machine learning based framework (2024)Monitoring multistage healthc…Monitoring bivariate autocorrelated process using a deep learning-based control chart: A case study on the car manufacturing industry (2024)Monitoring bivariate autocorr…Control chart pattern recognition for imbalanced data based on multi-feature fusion using convolutional neural network (2023)Control chart pattern recogni…Development and application of a hybrid forecasting framework based on improved extreme learning machine for enterprise financing risk (2022)Development and application o…Control chart pattern recognition using spectral clustering technique and support vector machine under gamma distribution (2022)Control chart pattern recogni…Concurrent Control Chart Pattern Recognition: A Systematic Review (2022)Concurrent Control Chart Patt…An SVM-GA based monitoring system for pattern recognition of autocorrelated processes (2022)An SVM-GA based monitoring sy…The Shewhart Control Chart—Tests for Special Causes (1984)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)Design of Experiments (1936)Taguchi Techniques for Quality Engineering (1989)Control chart pattern recognition using the convolutional neural network (2019)Introduction to Statistical Quality Control (2005)A control chart pattern recognition system using a statistical correlation coefficient method (2005)Control chart patterns recognition using ANFIS with new training algorithm and intelligent utilization of shape and statistical features (2019)A condition monitoring approach for machining process based on control chart pattern recognition with dynamically-sized observation windows (2020)Support vector machine with adaptive parameters in financial time series forecasting (2003)Identification and quantification of concurrent control chart patterns using extreme-point symmetric mode decomposition and extreme learning machines (2014)Support vector machine in statistical process monitoring: a methodological and analytical review (2016)Application of Machine Learning in Statistical Process Control Charts: A Survey and Perspective (2021)Statistical Quality Control (1990)Development of fuzzy process control charts and fuzzy unnatural pattern analyses (2006)A Novel Machine Learning Approach Combined with Optimization Models for Eco-efficiency Evaluation (2020)A novel artificial intelligent approach: comparison of machine learning tools and algorithms based on optimization DEA Malmquist productivity index for eco-efficiency evaluation (2021)Quality Control and Industrial Statistics. (1967)A visualized bibliometric analysis of mapping research trends of machine learning in engineering (MLE) (2021)Performance Comparison of Deep CNN Models for Detecting Driver’s Distraction (2021)A survey of control-chart pattern-recognition literature (1991–2010) based on a new conceptual classification scheme (2012)A decade of research on machine learning techniques for predicting employee turnover: A systematic literature review (2023)A network surveillance approach using machine learning based control charts (2023)
this work references cited by second hop

References

  • 2003Improved SPC chart pattern recognition using statistical features175 cited
  • 2010Application of the PSO–SVM model for recognition of control chart patterns148 cited
  • 1997Feature-based control chart pattern recognition130 cited
  • 2018Control chart pattern recognition using RBF neural network with new training algorithm and practical features111 cited
  • 2020A cost-sensitive convolution neural network learning for control chart pattern recognition97 cited
  • 2008Recognition of control chart patterns using improved selection of features97 cited
  • 2006Feature-based recognition of control chart patterns89 cited
  • 2019A New Automatic Method for Control Chart Patterns Recognition Based on ConvNet and Harris Hawks Meta Heuristic Optimization Algorithm82 cited
  • 2011Mixture control chart patterns recognition using independent component analysis and support vector machine77 cited
  • 2011Control chart pattern recognition using K-MICA clustering and neural networks65 cited
  • 2016A novel approach for recognition of control chart patterns: Type-2 fuzzy clustering optimized support vector machine56 cited
  • 2010Control chart pattern recognition using a novel hybrid intelligent method55 cited
  • 2006A study on the various features for effective control chart pattern recognition54 cited
  • 2011An expert system for control chart pattern recognition

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53 cited
  • 2000Control Chart Pattern Recognition Using Artificial Neural Networks51 cited
  • 2013Statistical process control using optimized neural networks: A case study47 cited
  • Cited by

    • 2023Control chart pattern recognition for imbalanced data based on multi-feature fusion using convolutional neural network39 cited
    • 2024Monitoring multistage healthcare processes using state space models and a machine learning based framework37 cited
    • 2022Control chart pattern recognition using spectral clustering technique and support vector machine under gamma distribution37 cited
    • 2022Development and application of a hybrid forecasting framework based on improved extreme learning machine for enterprise financing risk27 cited
    • 2025Explainable AI for trustworthy intelligent process monitoring26 cited
    • 2022Concurrent Control Chart Pattern Recognition: A Systematic Review26 cited
    • 2024Monitoring bivariate autocorrelated process using a deep learning-based control chart: A case study on the car manufacturing industry20 cited
    • 2022An SVM-GA based monitoring system for pattern recognition of autocorrelated processes16 cited
    • 2026A review of artificial intelligence impacting statistical process monitoring and future directions12 cited