A neural network ensemble-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes
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[1] Tai-Yue Wang,et al. Mean shifts detection and classification in multivariate process: a neural-fuzzy approach , 2002, J. Intell. Manuf..
[2] F. Zorriassatine,et al. Using novelty detection to identify abnormalities caused by mean shifts in bivariate processes , 2003 .
[3] R. Schapire. The Strength of Weak Learnability , 1990, Machine Learning.
[4] H. Brian Hwarng. Detecting process mean shift in the presence of autocorrelation: a neural-network based monitoring scheme , 2004 .
[5] Lars Kai Hansen,et al. Neural Network Ensembles , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[6] H. B. Hwarng,et al. Detecting process non-randomness through a fast and cumulative learning ART-based pattern recognizer , 1995 .
[7] Karen A. F. Copeland. Design and Analysis of Experiments, 5th Ed. , 2001 .
[8] Hairong Qi,et al. An integrated approach for process monitoring using wavelet analysis and competitive neural network , 2007 .
[9] Tai-Yue Wang,et al. Artificial neural networks to classify mean shifts from multivariate χ2 chart signals , 2004, Comput. Ind. Eng..
[10] Ruey-Shiang Guh,et al. On‐line Identification and Quantification of Mean Shifts in Bivariate Processes using a Neural Network‐based Approach , 2007, Qual. Reliab. Eng. Int..
[11] W. A. Wallis,et al. Techniques of Statistical Analysis. , 1950 .
[12] Mahmoud A. Barghash,et al. Pattern recognition of control charts using artificial neural networks—analyzing the effect of the training parameters , 2004, J. Intell. Manuf..
[13] Ruey-Shiang Guh,et al. A hybrid learning-based model for on-line detection and analysis of control chart patterns , 2005, Comput. Ind. Eng..
[14] Alice E. Smith,et al. X-bar and R control chart interpretation using neural computing , 1994 .
[15] R. Crosier. Multivariate generalizations of cumulative sum quality-control schemes , 1988 .
[16] Adnan Hassan,et al. Improved SPC chart pattern recognition using statistical features , 2003 .
[17] Chuen-Sheng Cheng,et al. A NEURAL NETWORK APPROACH FOR THE ANALYSIS OF CONTROL CHART PATTERNS , 1997 .
[18] H. Hotelling,et al. Multivariate Quality Control , 1947 .
[19] W. Woodall,et al. Multivariate CUSUM Quality- Control Procedures , 1985 .
[20] Stelios Psarakis,et al. Multivariate statistical process control charts: an overview , 2007, Qual. Reliab. Eng. Int..
[21] Chuen-Sheng Cheng. A multi-layer neural network model for detecting changes in the process mean , 1995 .
[22] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[23] Ercan Oztemel,et al. Control chart pattern recognition using neural networks , 1992 .
[24] Chih-Ming Hsu,et al. Analysis of variations in a multi-variate process using neural networks , 2003 .
[25] J. E. Jackson. Multivariate quality control , 1985 .
[26] Charles W. Champ,et al. A multivariate exponentially weighted moving average control chart , 1992 .
[27] George C. Runger,et al. Comparison of multivariate CUSUM charts , 1990 .
[28] Nola D. Tracy,et al. Decomposition of T2 for Multivariate Control Chart Interpretation , 1995 .
[29] Frank B. Alt. Multivariate Quality Control , 1984 .
[30] Chih-Chou Chiu,et al. Using radial basis function neural networks to recognize shifts in correlated manufacturing process parameters , 1998 .
[31] George C. Runger,et al. Designing a Multivariate EWMA Control Chart , 1997 .
[32] H. Hotelling. Multivariate Quality Control-illustrated by the air testing of sample bombsights , 1947 .
[33] Elie Bienenstock,et al. Neural Networks and the Bias/Variance Dilemma , 1992, Neural Computation.
[34] Shing I. Chang,et al. An integrated neural network approach for simultaneous monitoring of process mean and variance shifts a comparative study , 1999 .
[35] Duc Truong Pham,et al. Control chart pattern recognition using learning vector quantization networks , 1994 .
[36] J. D. T. Tannock,et al. A review of neural networks for statistical process control , 1998, J. Intell. Manuf..
[37] Shing I. Chang,et al. A neural fuzzy control chart for detecting and classifying process mean shifts , 1996 .
[38] Wei Tang,et al. Ensembling neural networks: Many could be better than all , 2002, Artif. Intell..
[39] G. A. Pugh. Synthetic neural networks for process control , 1989 .
[40] Seyed Taghi Akhavan Niaki,et al. Fault Diagnosis in Multivariate Control Charts Using Artificial Neural Networks , 2005 .
[41] Deborah F. Cook,et al. Utilization of neural networks for the recognition of variance shifts in correlated manufacturing process parameters , 2001 .
[42] Roberto Battiti,et al. Using mutual information for selecting features in supervised neural net learning , 1994, IEEE Trans. Neural Networks.
[43] Xin Yao,et al. Evolutionary ensembles with negative correlation learning , 2000, IEEE Trans. Evol. Comput..