Weighted kernel principal component analysis based on probability density estimation and moving window and its application in nonlinear chemical process monitoring

标题
Weighted kernel principal component analysis based on probability density estimation and moving window and its application in nonlinear chemical process monitoring
作者
关键词
-
出版物
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
Volume 127, Issue -, Pages 121-131
出版商
Elsevier BV
发表日期
2013-07-02
DOI
10.1016/j.chemolab.2013.06.013

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