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Control Chart Pattern Recognition Using Artificial Neural Networks
2 references·11 citing·31 second hop
Control Chart Pattern Recognition Using Artificial Neural Networks (2000)Control Chart Pattern Recognition Using A…Feature-based control chart pattern recognition (1997)Feature-based control chart p…Control chart pattern recognition using learning vector quantization networks (1994)Control chart pattern recogni…Control chart pattern recognition for imbalanced data based on multi-feature fusion using convolutional neural network (2023)Control chart pattern recogni…Control chart recognition based on the parallel model of CNN and LSTM with GA optimization (2021)Control chart recognition bas…Control chart patterns recognition using ANFIS with new training algorithm and intelligent utilization of shape and statistical features (2019)Control chart patterns recogn…A Hierarchical System for Recognition of Control Chart Patterns (2018)A Hierarchical System for Rec…On artificial neural networking-based process monitoring under bootstrapping using runs rules schemes (2014)On artificial neural networki…Statistical process control using optimized neural networks: A case study (2013)Statistical process control u…Recognition of control chart patterns using an intelligent technique (2012)Recognition of control chart …A double neural network approach for the identification and parameter estimation of control chart patterns (2012)A double neural network appro…On-line analysis of out-of-control signals in multivariate manufacturing processes using a hybrid learning-based model (2011)On-line analysis of out-of-co…Control chart pattern recognition using neural networks and efficient features: a comparative study (2011)Control chart pattern recogni…Automated Identification of Basic Control Charts Patterns Using Neural Networks (2010)Automated Identification of B…Introduction to Statistical Quality Control (1992)Improved SPC chart pattern recognition using statistical features (2003)Introduction to Statistical Quality Control (2005)Control chart pattern recognition using an integrated model based on binary-tree support vector machine (2014)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)Introduction to Statistical Quality Control (2001)On line detection of mean and variance shift using neural networks and support vector machine in multivariate processes (2012)Monitoring and diagnosing of mean shifts in multivariate manufacturing processes using two-level selective ensemble of learning vector quantization neural networks (2013)Monitoring linear profiles using Artificial Neural Networks with run rules (2020)Two Alternatives to the ShewhartXControl Chart (2000)Monitoring Process Mean and Variability with One EWMA Chart (2001)An enhanced adaptive CUSUM control chart (2009)LSTM-based framework with metaheuristic optimizer for manufacturing process monitoring (2023)Application of the PSO–SVM model for recognition of control chart patterns (2010)Efficient mixture control chart pattern recognition using adaptive RBF neural network (2019)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)Quality Control and Industrial Statistics. (1967)Employing machine learning techniques in monitoring autocorrelated profiles (2023)The partitioning ensemble control chart for on-line monitoring of high-dimensional image-based quality characteristics (2023)Explainable AI for trustworthy intelligent process monitoring (2025)A survey of control-chart pattern-recognition literature (1991–2010) based on a new conceptual classification scheme (2012)A nonparametric adaptive EWMA control chart for monitoring mixed continuous and categorical data using self-starting strategy (2024)A nonparametric adaptive EWMA control chart for monitoring multivariate time-between-events-and-amplitude data (2024)A neural network based model for abnormal pattern recognition of control charts (1999)A control chart pattern recognition system using a statistical correlation coefficient method (2005)Control chart pattern recognition using the convolutional neural network (2019)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)Control chart pattern recognition using spectral clustering technique and support vector machine under gamma distribution (2022)Monitoring multistage healthcare processes using state space models and a machine learning based framework (2024)
this work references cited by second hop

References

  • 1994Control chart pattern recognition using learning vector quantization networks140 cited
  • 1997Feature-based control chart pattern recognition130 cited

Cited by

  • 2013Statistical process control using optimized neural networks: A case study47 cited
  • 2021Control chart recognition based on the parallel model of CNN and LSTM with GA optimization46 cited
  • 2012Recognition of control chart patterns using an intelligent technique43 cited
  • 2011On-line analysis of out-of-control signals in multivariate manufacturing processes using a hybrid learning-based model40 cited
  • 2023Control chart pattern recognition for imbalanced data based on multi-feature fusion using convolutional neural network39 cited
  • 2019Control chart patterns recognition using ANFIS with new training algorithm and intelligent utilization of shape and statistical features36 cited
  • 2011Control chart pattern recognition using neural networks and efficient features: a comparative study29 cited
  • 2014On artificial neural networking-based process monitoring under bootstrapping using runs rules schemes18 cited
  • 2010Automated Identification of Basic Control Charts Patterns Using Neural Networks14 cited
  • 2012A double neural network approach for the identification and parameter estimation of control chart patterns11 cited
  • 2018A Hierarchical System for Recognition of Control Chart Patterns10 cited

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