Classification of process dynamics with Monte Carlo singular spectrum analysis

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Classification of process dynamics with Monte Carlo singular spectrum analysis

Metallurgical and other chemical process systems are often too complex to model from first principles. In such situations the alternative is to identify the systems from historic process data. Such identification can pose problems of its own and before attempting to identify the system, it may be im...

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Bibliographic Details
Main Authors:	Jemwa, G., Aldrich, Chris
Format:	Journal Article
Published:	Elsevier 2006
Subjects:	Surrogate analysis Singular spectrum analysis Kernel methods Nonlinear principal component analysis Time series analysis
Online Access:	http://hdl.handle.net/20.500.11937/13300

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