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

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

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 nonli...

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Main Authors: Ahmad, Zainal Ariffin, Abd Shukor, Syamsul Rizal
Format: Monograph
Published: Universiti Sains Malaysia 2008
Subjects:
TP1-1185 Chemical technology
Online Access:http://eprints.usm.my/10485/
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Institution: Universiti Sains Malaysia
id my.usm.eprints.10485
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spelling my.usm.eprints.10485 http://eprints.usm.my/10485/ Nonlinear process modeling of pH neutralization process in CSTR using,selective combination of multiple neural Networks. Ahmad, Zainal Ariffin Abd Shukor, Syamsul Rizal TP1-1185 Chemical technology 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. Universiti Sains Malaysia 2008-03 Monograph NonPeerReviewed Ahmad, Zainal Ariffin and Abd Shukor, Syamsul Rizal (2008) Nonlinear process modeling of pH neutralization process in CSTR using,selective combination of multiple neural Networks. Project Report. Universiti Sains Malaysia.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
topic TP1-1185 Chemical technology
spellingShingle TP1-1185 Chemical technology
Ahmad, Zainal Ariffin
Abd Shukor, Syamsul Rizal
Nonlinear process modeling of pH neutralization process in CSTR using,selective combination of multiple neural Networks.
description 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.
format Monograph
author Ahmad, Zainal Ariffin
Abd Shukor, Syamsul Rizal
author_facet Ahmad, Zainal Ariffin
Abd Shukor, Syamsul Rizal
author_sort Ahmad, Zainal Ariffin
title Nonlinear process modeling of pH neutralization process in CSTR using,selective combination of multiple neural Networks.
title_short Nonlinear process modeling of pH neutralization process in CSTR using,selective combination of multiple neural Networks.
title_full Nonlinear process modeling of pH neutralization process in CSTR using,selective combination of multiple neural Networks.
title_fullStr Nonlinear process modeling of pH neutralization process in CSTR using,selective combination of multiple neural Networks.
title_full_unstemmed Nonlinear process modeling of pH neutralization process in CSTR using,selective combination of multiple neural Networks.
title_sort nonlinear process modeling of ph neutralization process in cstr using,selective combination of multiple neural networks.
publisher Universiti Sains Malaysia
publishDate 2008
url http://eprints.usm.my/10485/
_version_ 1643701553347952640

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