Nonlinear process modeling of pH neutralization process in CSTR using,selective combination of multiple neural networks.

dc.contributor.author	Ahmad, Zainal Ariffin
dc.date.accessioned	2017-09-12T03:15:46Z
dc.date.available	2017-09-12T03:15:46Z
dc.date.issued	2008
dc.description.abstract	pH control problem is very important in many chemical and biological systems and especially in waste treatment plants. The neutralization is very fast and occurs as a result of a simple reaction. However, from the control point of view it is very difficult problem to handle because of its high nonlinearity due to the varying gain and varying dynamics with respect to the operating point. Masalah pengawalan pH adalah amat penting dalam kebanyakan proses kimia mahupun biologi terutamanya dalam sistem rawatan air sisa. Dalam sistem ini, proses peneutralan berlaku begitu pantas dan hanya disebabkan oleh tindakbalas yang ringkas.	en_US
dc.identifier.uri	http://hdl.handle.net/123456789/4604
dc.subject	neural networks	en_US
dc.subject	jaringan neural	en_US
dc.subject	multiple neural networks	en_US
dc.subject	jaringan neural pelbagai	en_US
dc.subject	selective combination MNN	en_US
dc.subject	kombinasi terpilih jaringan neural pelbagai	en_US
dc.subject	nonlinear process modeling	en_US
dc.subject	pemodelan process tidak lelurus	en_US
dc.subject	pH neutralization process	en_US
dc.subject	proses peneutralan pH	en_US
dc.title	Nonlinear process modeling of pH neutralization process in CSTR using,selective combination of multiple neural networks.	en_US
dc.type	Technical Report	en_US

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