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Application of nonlinear feature extraction and least square support vector machines for fault diagnosis of chemical process
Author(s) -
Liang Xu
Publication year - 2010
Publication title -
journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 1001-9081
DOI - 10.3724/sp.j.1087.2010.00236
Subject(s) - support vector machine , computer science , pattern recognition (psychology) , fault (geology) , process (computing) , nonlinear system , artificial intelligence , square (algebra) , data mining , algorithm , machine learning , mathematics , physics , geometry , quantum mechanics , seismology , geology , operating system

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