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
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id	my-usm-ep.42295
record_format	uketd_dc
spelling	my-usm-ep.422952019-04-12T05:26:44Z Modeling Of Biopolymerization Process Using First Principle Model And Bootstrap Re-Sampling Neural Network 2011 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 http://eprints.usm.my/42295/ http://eprints.usm.my/42295/1/RABIATUL_%E2%80%98ADAWIAH_MAT_NOOR.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Kejuteraan Kimia
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
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
qualification_level	Master's degree
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
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Kejuteraan Kimia
publishDate	2011
url	http://eprints.usm.my/42295/1/RABIATUL_%E2%80%98ADAWIAH_MAT_NOOR.pdf
_version_	1747821053812408320

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

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