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Kernel methods for advanced statistical process control
作者: Issam Ben Khedhiri
DOI:
10.17877/DE290R-3854
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2
tu-dortmund.de
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sci-hub.st
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参考文章
(63)
1.
Lijuan Cao,
Application of support vector machines in !nancial time series forecasting
,(2001)
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Layth C Alwan, Harry V Roberts,
The Problem of Misplaced Control Limits
Journal of The Royal Statistical Society Series C-applied Statistics.
,vol. 44, pp. 269- 278 ,(1995) ,
10.2307/2986036
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Paul F. Evangelista, Mark J. Embrechts, Boleslaw K. Szymanski,
Some Properties of the Gaussian Kernel for One Class Learning
Lecture Notes in Computer Science.
pp. 269- 278 ,(2007) ,
10.1007/978-3-540-74690-4_28
4.
Bernhard Schölkopf, Alexander J. Smola,
Learning with Kernels
The MIT Press.
pp. 626- ,(2018) ,
10.7551/MITPRESS/4175.001.0001
5.
Donald R. Moscato,
Mastering Statistical Process Control: A Handbook for Performance Improvement Using Cases20061Tim Stapenhurst. Mastering Statistical Process Control: A Handbook for Performance Improvement Using Cases. Elsevier Butterworth Heinemann, 2005. 456 pp., ISBN: 0 7506 6529 7 Paperback
Benchmarking: An International Journal.
,vol. 13, pp. 730- 731 ,(2006) ,
10.1108/14635770610709086
6.
K. -R. Müller, A. J. Smola, G. Rätsch, B. Schölkopf, J. Kohlmorgen, V. Vapnik,
Predicting Time Series with Support Vector Machines
international conference on artificial neural networks.
pp. 999- 1004 ,(1997) ,
10.1007/BFB0020283
7.
Fei Liu, Chang-Ying Wu,
Improvement on Multivariate Statistical Process Monitoring Using Multi-scale ICA
Independent Component Analysis and Blind Signal Separation.
pp. 376- 383 ,(2006) ,
10.1007/11679363_47
8.
Maysa S De Magalhães, Antonio FB Costa, Francisco D Moura Neto, None,
Adaptive control charts: A Markovian approach for processes subject to independent disturbances ☆
International Journal of Production Economics.
,vol. 99, pp. 236- 246 ,(2006) ,
10.1016/J.IJPE.2004.12.013
9.
Thomas J. Harris, William H. Ross,
Statistical process control procedures for correlated observations
Canadian Journal of Chemical Engineering.
,vol. 69, pp. 48- 57 ,(1991) ,
10.1002/CJCE.5450690106
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David M.J. Tax, Robert P.W. Duin,
Support Vector Data Description
Machine Learning.
,vol. 54, pp. 45- 66 ,(2004) ,
10.1023/B:MACH.0000008084.60811.49
来源期刊
2012 年,
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