Improving Process Operations Using Support Vector Machines and Decision Trees

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Improving Process Operations Using Support Vector Machines and Decision Trees

Statistical pattern-recognition methods are now widely applied in the analysis of process systems to achieve predictable and stable operating conditions. For example, multivariate statistical process control (MSPC) techniques use historical operating data to detect abnormal events, and assist engine...

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Bibliographic Details
Main Authors:	Jemwa, G., Aldrich, Chris
Format:	Journal Article
Published:	John Wiley & Sons 2005
Online Access:	http://hdl.handle.net/20.500.11937/3380

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