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Modeling of real pH Neutralization Process using Multiple Neural Networks (MNN) Combination Technique.

Combining multiple neural networks appears to be a very promising approach in improving neural network generalisation since it is very difficult, if not impossible, to develop a perfect single neural network (SNN) especially when dealing with a real time data.

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Main Authors: Ahmad, Zainal, Roslin, Fairuoze
Format: Conference or Workshop Item
Language:English
Published: 2007
Subjects:
TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Online Access:http://eprints.usm.my/15576/1/real.pdf
http://eprints.usm.my/15576/
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id my.usm.eprints.15576
record_format eprints
spelling my.usm.eprints.15576 http://eprints.usm.my/15576/ Modeling of real pH Neutralization Process using Multiple Neural Networks (MNN) Combination Technique. Ahmad, Zainal Roslin, Fairuoze TK1-9971 Electrical engineering. Electronics. Nuclear engineering Combining multiple neural networks appears to be a very promising approach in improving neural network generalisation since it is very difficult, if not impossible, to develop a perfect single neural network (SNN) especially when dealing with a real time data. 2007 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.usm.my/15576/1/real.pdf Ahmad, Zainal and Roslin, Fairuoze (2007) Modeling of real pH Neutralization Process using Multiple Neural Networks (MNN) Combination Technique. In: International Conference on Control, Instrumentation and Mechatronics Engineering (CIM’07), 28 – 29 May 2007, Johor Bahru, Johor, 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/
language English
topic TK1-9971 Electrical engineering. Electronics. Nuclear engineering
spellingShingle TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Ahmad, Zainal
Roslin, Fairuoze
Modeling of real pH Neutralization Process using Multiple Neural Networks (MNN) Combination Technique.
description Combining multiple neural networks appears to be a very promising approach in improving neural network generalisation since it is very difficult, if not impossible, to develop a perfect single neural network (SNN) especially when dealing with a real time data.
format Conference or Workshop Item
author Ahmad, Zainal
Roslin, Fairuoze
author_facet Ahmad, Zainal
Roslin, Fairuoze
author_sort Ahmad, Zainal
title Modeling of real pH Neutralization Process using Multiple Neural Networks (MNN) Combination Technique.
title_short Modeling of real pH Neutralization Process using Multiple Neural Networks (MNN) Combination Technique.
title_full Modeling of real pH Neutralization Process using Multiple Neural Networks (MNN) Combination Technique.
title_fullStr Modeling of real pH Neutralization Process using Multiple Neural Networks (MNN) Combination Technique.
title_full_unstemmed Modeling of real pH Neutralization Process using Multiple Neural Networks (MNN) Combination Technique.
title_sort modeling of real ph neutralization process using multiple neural networks (mnn) combination technique.
publishDate 2007
url http://eprints.usm.my/15576/1/real.pdf
http://eprints.usm.my/15576/
_version_ 1643702992348643328
score 13.160551

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