Soft sensor development and optimization of the commercial petrochemical plant integrating support vector regression and genetic algorithm

Soft sensor development and optimization of the commercial petrochemical plant integrating support vector regression and genetic algorithm

Soft sensors have been widely used in the industrial process control to improve the quality of the product and assure safety in the production. The core of a soft sensor is to construct a soft sensing model. This paper introduces support vector regression (SVR), a new powerful machine learning metho...

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Bibliographic Details
Main Authors:	S.K. Lahiri, N.M. Khalfe
Format:	Article
Language:	English
Published:	Association of the Chemical Engineers of Serbia 2009-09-01
Series:	Chemical Industry and Chemical Engineering Quarterly
Subjects:	SVR GA modeling and optimization.
Online Access:	http://www.ache.org.rs/CICEQ/2009/No3/CICEQ_Vol15_%20No3_pp175-%60187_Jul-Sep_2009.pdf

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