Development of a robust hybrid estimator using partial least squares regression and artificial neural networks.

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Development of a robust hybrid estimator using partial least squares regression and artificial neural networks.

Measurement difficulty is one of the process control issues arising from the complexity and the lack of online measurement devices. One of the alternative solutions to deal with the problem is inferential estimation where secondary variables, such as temperature and pressure are used to predict the...

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Bibliographic Details
Main Authors:	Ahmad, Arshad, Lim, Wan Piang
Format:	Article
Language:	English
Published:	Universiti Malaysia Sabah 2003
Subjects:	T Technology (General)
Online Access:	http://eprints.utm.my/8024/ http://eprints.utm.my/8024/1/ArshadAhmad2003_DevelopmentOfARobustHybridEstimator.pdf

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