Statistical Analysis of Nonlinear Processes Based on Penalty Factor
Joint Authors
Zhang, Chuanfang
Zhang, Wei
Zhang, Yingwei
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-30
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
A new process monitoring approach is proposed for handling the nonlinear monitoring problem in the electrofused magnesia furnace (EFMF).
Compared to conventional method, the contributions are as follows: (1) a new kernel principal component analysis is proposed based on loss function in the feature space; (2) the model of kernel principal component analysis based on forgetting factor is updated; (3) a new iterative kernel principal component analysis algorithm is proposed based on penalty factor.
American Psychological Association (APA)
Zhang, Yingwei& Zhang, Chuanfang& Zhang, Wei. 2014. Statistical Analysis of Nonlinear Processes Based on Penalty Factor. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1046558
Modern Language Association (MLA)
Zhang, Yingwei…[et al.]. Statistical Analysis of Nonlinear Processes Based on Penalty Factor. Mathematical Problems in Engineering No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1046558
American Medical Association (AMA)
Zhang, Yingwei& Zhang, Chuanfang& Zhang, Wei. Statistical Analysis of Nonlinear Processes Based on Penalty Factor. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1046558
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1046558
