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

Noor, Rabiatul 'Adawiah Mat (2011) Modeling Of Biopolymerization Process Using First Principle Model And Bootstrap Re-Sampling Neural Network. Masters thesis, Universiti Sains Malaysia.

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Abstract

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.

Item Type:	Thesis (Masters)
Subjects:	T Technology > TP Chemical Technology > TP1-1185 Chemical technology
Divisions:	Kampus Kejuruteraan (Engineering Campus) > Pusat Pengajian Kejuruteraan Kimia (School of Chemical Engineering) > Thesis
Depositing User:	ASM Ab Shukor Mustapa
Date Deposited:	04 Oct 2018 07:51
Last Modified:	12 Apr 2019 05:26
URI:	http://eprints.usm.my/id/eprint/42295

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