Identification and predictive control of spray tower system using artificial neural network and differential evolution algorithm

Identification and predictive control of spray tower system using artificial neural network and differential evolution algorithm

Increasing demands for high precision environmental protection measures regarding particulate matter (PM) emission from industrial productions and non-linear characteristics of spray tower system lead to the application of an intelligent control technique to adequately deal with these complexities....

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Bibliographic Details
Main Authors:	Danzomo, Bashir A., Salami, Momoh Jimoh Eyiomika, Khan, Md. Raisuddin
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2015
Subjects:	QA75 Electronic computers. Computer science QD Chemistry
Online Access:	http://irep.iium.edu.my/45226/ http://irep.iium.edu.my/45226/ http://irep.iium.edu.my/45226/ http://irep.iium.edu.my/45226/1/45226.pdf http://irep.iium.edu.my/45226/4/ASCC-organizer.pdf

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