Estimation of vinyl acetate monomer concentration using neural network & partial least square

This thesis is about the application of Artificial Neural Network (ANN) and Partial Least Square (PLS) on the chemical process plant. At the present time, the process and development in chemical plants are getting more complex and hard to measure. Therefore, the needs for a system that can help to s...

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Main Author:	Mohamad Zafarudin, Mohamad
Format:	Undergraduates Project Papers
Language:	English
Published:	2008
Subjects:	QA Mathematics
Online Access:	http://umpir.ump.edu.my/id/eprint/656/ http://umpir.ump.edu.my/id/eprint/656/ http://umpir.ump.edu.my/id/eprint/656/1/Mohamad_Zafarudin_Mohamad.PDF

id	ump-656
recordtype	eprints
spelling	ump-6562015-03-03T06:04:51Z http://umpir.ump.edu.my/id/eprint/656/ Estimation of vinyl acetate monomer concentration using neural network & partial least square Mohamad Zafarudin, Mohamad QA Mathematics This thesis is about the application of Artificial Neural Network (ANN) and Partial Least Square (PLS) on the chemical process plant. At the present time, the process and development in chemical plants are getting more complex and hard to measure. Therefore, the needs for a system that can help to supervise and control the process in the plant have to be accomplished in order to achieve higher performance and quality. As the emergence of Artificial Neural Network and Partial Least Square application nowadays to solve problem in various fields had given a great significant effect such as soft-sensor, lack of on-line measurement, and incorporate the safety issues while maintaining practicality and economic feasibility, both of the system are reliable to be adapted in the chemical plant. Furthermore, this thesis will be focusing more on the application of Artificial Neural Network and Partial Least Square as a estimation scheme in the chemical plant. Estimation by using Artificial Neural Network (ANN) and Partial Least Square (PLS) is popular in the present time as a mechanism to estimate the variables in the chemical plant. By implementing such system, the performance and quality of the plant will increased. For this thesis, the vinyl acetate monomer plant had been chosen as the case study to provide the necessary data and information to run the research. Vinyl acetate monomer process will provides a dependable source of data and an appropriate test for alternative control and optimization strategies for continuous chemical processes. 2008-05 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/656/1/Mohamad_Zafarudin_Mohamad.PDF Mohamad Zafarudin, Mohamad (2008) Estimation of vinyl acetate monomer concentration using neural network & partial least square. Faculty of Chemical & Natural Resources Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:31326&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA Mathematics
spellingShingle	QA Mathematics Mohamad Zafarudin, Mohamad Estimation of vinyl acetate monomer concentration using neural network & partial least square
description	This thesis is about the application of Artificial Neural Network (ANN) and Partial Least Square (PLS) on the chemical process plant. At the present time, the process and development in chemical plants are getting more complex and hard to measure. Therefore, the needs for a system that can help to supervise and control the process in the plant have to be accomplished in order to achieve higher performance and quality. As the emergence of Artificial Neural Network and Partial Least Square application nowadays to solve problem in various fields had given a great significant effect such as soft-sensor, lack of on-line measurement, and incorporate the safety issues while maintaining practicality and economic feasibility, both of the system are reliable to be adapted in the chemical plant. Furthermore, this thesis will be focusing more on the application of Artificial Neural Network and Partial Least Square as a estimation scheme in the chemical plant. Estimation by using Artificial Neural Network (ANN) and Partial Least Square (PLS) is popular in the present time as a mechanism to estimate the variables in the chemical plant. By implementing such system, the performance and quality of the plant will increased. For this thesis, the vinyl acetate monomer plant had been chosen as the case study to provide the necessary data and information to run the research. Vinyl acetate monomer process will provides a dependable source of data and an appropriate test for alternative control and optimization strategies for continuous chemical processes.
format	Undergraduates Project Papers
author	Mohamad Zafarudin, Mohamad
author_facet	Mohamad Zafarudin, Mohamad
author_sort	Mohamad Zafarudin, Mohamad
title	Estimation of vinyl acetate monomer concentration using neural network & partial least square
title_short	Estimation of vinyl acetate monomer concentration using neural network & partial least square
title_full	Estimation of vinyl acetate monomer concentration using neural network & partial least square
title_fullStr	Estimation of vinyl acetate monomer concentration using neural network & partial least square
title_full_unstemmed	Estimation of vinyl acetate monomer concentration using neural network & partial least square
title_sort	estimation of vinyl acetate monomer concentration using neural network & partial least square
publishDate	2008
url	http://umpir.ump.edu.my/id/eprint/656/ http://umpir.ump.edu.my/id/eprint/656/ http://umpir.ump.edu.my/id/eprint/656/1/Mohamad_Zafarudin_Mohamad.PDF
first_indexed	2023-09-18T21:53:06Z
last_indexed	2023-09-18T21:53:06Z
_version_	1777413900886605824

Estimation of vinyl acetate monomer concentration using neural network & partial least square

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