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.
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2007
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| Subjects: | |
| Online Access: | http://eprints.usm.my/15576/ http://eprints.usm.my/15576/1/real.pdf |
| _version_ | 1848872301410385920 |
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| author | Ahmad, Zainal Roslin, Fairuoze |
| author_facet | Ahmad, Zainal Roslin, Fairuoze |
| author_sort | Ahmad, Zainal |
| building | USM Institutional Repository |
| collection | Online Access |
| 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.
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| first_indexed | 2025-11-15T15:53:48Z |
| format | Conference or Workshop Item |
| id | usm-15576 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T15:53:48Z |
| publishDate | 2007 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-155762017-11-20T07:22:06Z 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,. |
| 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. |
| title | Modeling of real pH Neutralization Process using Multiple Neural Networks (MNN) Combination Technique.
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| title_full | Modeling of real pH Neutralization Process using Multiple Neural Networks (MNN) Combination Technique.
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| title_fullStr | Modeling of real pH Neutralization Process using Multiple Neural Networks (MNN) Combination Technique.
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| title_full_unstemmed | Modeling of real pH Neutralization Process using Multiple Neural Networks (MNN) Combination Technique.
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| title_short | Modeling of real pH Neutralization Process using Multiple Neural Networks (MNN) Combination Technique.
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| title_sort | modeling of real ph neutralization process using multiple neural networks (mnn) combination technique. |
| topic | TK1-9971 Electrical engineering. Electronics. Nuclear engineering |
| url | http://eprints.usm.my/15576/ http://eprints.usm.my/15576/1/real.pdf |