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Modeling Of Biopolymerization Process Using First Principle Model And Bootstrap Re-Sampling Neural Network

The emergence of the environmental issues such as green house and global warming have triggered scientists and researchers to create new materials that can cope both environmental and humanity needs i.e. biopolymer. Biopolymer quality assesses by its molecular weight. Apparently, there is no online...

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Main Author: Noor, Rabiatul 'Adawiah Mat
Format: Thesis
Language:English
Published: 2011
Subjects:
TP1-1185 Chemical technology
Online Access:http://eprints.usm.my/42295/1/RABIATUL_%E2%80%98ADAWIAH_MAT_NOOR.pdf
http://eprints.usm.my/42295/
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spelling my.usm.eprints.42295 http://eprints.usm.my/42295/ Modeling Of Biopolymerization Process Using First Principle Model And Bootstrap Re-Sampling Neural Network Noor, Rabiatul 'Adawiah Mat TP1-1185 Chemical technology The emergence of the environmental issues such as green house and global warming have triggered scientists and researchers to create new materials that can cope both environmental and humanity needs i.e. biopolymer. Biopolymer quality assesses by its molecular weight. Apparently, there is no online measurement for molecular weight measurement. Therefore, in this study models are developed to mimic the real process using a reliable modeling tool such as neural networks. First principle model also become one of the most applied methods to model a process other than using a modeling tool such as neural network. 2011 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/42295/1/RABIATUL_%E2%80%98ADAWIAH_MAT_NOOR.pdf Noor, Rabiatul 'Adawiah Mat (2011) Modeling Of Biopolymerization Process Using First Principle Model And Bootstrap Re-Sampling Neural Network. Masters thesis, 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/
language English
topic TP1-1185 Chemical technology
spellingShingle TP1-1185 Chemical technology
Noor, Rabiatul 'Adawiah Mat
Modeling Of Biopolymerization Process Using First Principle Model And Bootstrap Re-Sampling Neural Network
description The emergence of the environmental issues such as green house and global warming have triggered scientists and researchers to create new materials that can cope both environmental and humanity needs i.e. biopolymer. Biopolymer quality assesses by its molecular weight. Apparently, there is no online measurement for molecular weight measurement. Therefore, in this study models are developed to mimic the real process using a reliable modeling tool such as neural networks. First principle model also become one of the most applied methods to model a process other than using a modeling tool such as neural network.
format Thesis
author Noor, Rabiatul 'Adawiah Mat
author_facet Noor, Rabiatul 'Adawiah Mat
author_sort Noor, Rabiatul 'Adawiah Mat
title Modeling Of Biopolymerization Process Using First Principle Model And Bootstrap Re-Sampling Neural Network
title_short Modeling Of Biopolymerization Process Using First Principle Model And Bootstrap Re-Sampling Neural Network
title_full Modeling Of Biopolymerization Process Using First Principle Model And Bootstrap Re-Sampling Neural Network
title_fullStr Modeling Of Biopolymerization Process Using First Principle Model And Bootstrap Re-Sampling Neural Network
title_full_unstemmed Modeling Of Biopolymerization Process Using First Principle Model And Bootstrap Re-Sampling Neural Network
title_sort modeling of biopolymerization process using first principle model and bootstrap re-sampling neural network
publishDate 2011
url http://eprints.usm.my/42295/1/RABIATUL_%E2%80%98ADAWIAH_MAT_NOOR.pdf
http://eprints.usm.my/42295/
_version_ 1643710464188743680
score 13.209306

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