标题
Block adaptive kernel principal component analysis for nonlinear process monitoring
作者
关键词
-
出版物
AICHE JOURNAL
Volume 62, Issue 12, Pages 4334-4345
出版商
Wiley
发表日期
2016-05-31
DOI
10.1002/aic.15347
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Weighted kernel principal component analysis based on probability density estimation and moving window and its application in nonlinear chemical process monitoring
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