Feed Forward Neural Network Model for Isopropyl Myristate Production in Industrial-scale Semi-batch Reactive Distillation Columns

The application of the artificial neural network (ANN) model in chemical industries has grown due to its ability to solve complex model and online application problems. Typically, the ANN model is good at predicting data within the training range but is limited when predicting extrapolated data....

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Main Authors:	Bashah, Nur Alwani Ali, Othman, Mohd Roslee, Aziz, Norashid
Format:	Article
Language:	English
Published:	Taylor's University 2015
Subjects:	TA1-2040 Engineering (General). Civil engineering (General)
Online Access:	http://eprints.usm.my/42785/ http://eprints.usm.my/42785/1/JES_Vol._11_2015_-_Art._6%2859-65%29.pdf

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author	Bashah, Nur Alwani Ali Othman, Mohd Roslee Aziz, Norashid
author_facet	Bashah, Nur Alwani Ali Othman, Mohd Roslee Aziz, Norashid
author_sort	Bashah, Nur Alwani Ali
building	USM Institutional Repository
collection	Online Access
description	The application of the artificial neural network (ANN) model in chemical industries has grown due to its ability to solve complex model and online application problems. Typically, the ANN model is good at predicting data within the training range but is limited when predicting extrapolated data. Thus, in this paper, selected optimum multiple-input multiple-output (MIMO) and multiple-input single-output (MISO) models are used to predict the bottom (xb) compositions of extrapolated data. The MIMO and MISO models both managed to predict the extrapolated data with MSE values of 0.0078 and 0.0063 and with R2 values of 0.9986 and 0.9975, respectively.
first_indexed	2025-11-15T17:50:41Z
format	Article
id	usm-42785
institution	Universiti Sains Malaysia
institution_category	Local University
language	English
last_indexed	2025-11-15T17:50:41Z
publishDate	2015
publisher	Taylor's University
recordtype	eprints
repository_type	Digital Repository
spelling	usm-427852018-10-30T01:56:30Z http://eprints.usm.my/42785/ Feed Forward Neural Network Model for Isopropyl Myristate Production in Industrial-scale Semi-batch Reactive Distillation Columns Bashah, Nur Alwani Ali Othman, Mohd Roslee Aziz, Norashid TA1-2040 Engineering (General). Civil engineering (General) The application of the artificial neural network (ANN) model in chemical industries has grown due to its ability to solve complex model and online application problems. Typically, the ANN model is good at predicting data within the training range but is limited when predicting extrapolated data. Thus, in this paper, selected optimum multiple-input multiple-output (MIMO) and multiple-input single-output (MISO) models are used to predict the bottom (xb) compositions of extrapolated data. The MIMO and MISO models both managed to predict the extrapolated data with MSE values of 0.0078 and 0.0063 and with R2 values of 0.9986 and 0.9975, respectively. Taylor's University 2015 Article PeerReviewed application/pdf en http://eprints.usm.my/42785/1/JES_Vol._11_2015_-_Art._6%2859-65%29.pdf Bashah, Nur Alwani Ali and Othman, Mohd Roslee and Aziz, Norashid (2015) Feed Forward Neural Network Model for Isopropyl Myristate Production in Industrial-scale Semi-batch Reactive Distillation Columns. Journal of Engineering Science and Technology, 11. pp. 59-65. ISSN 1823-4690 http://web.usm.my/jes/11_2015/JES%20Vol.%2011%202015%20-%20Art.%206(59-65).pdf
spellingShingle	TA1-2040 Engineering (General). Civil engineering (General) Bashah, Nur Alwani Ali Othman, Mohd Roslee Aziz, Norashid Feed Forward Neural Network Model for Isopropyl Myristate Production in Industrial-scale Semi-batch Reactive Distillation Columns
title	Feed Forward Neural Network Model for Isopropyl Myristate Production in Industrial-scale Semi-batch Reactive Distillation Columns
title_full	Feed Forward Neural Network Model for Isopropyl Myristate Production in Industrial-scale Semi-batch Reactive Distillation Columns
title_fullStr	Feed Forward Neural Network Model for Isopropyl Myristate Production in Industrial-scale Semi-batch Reactive Distillation Columns
title_full_unstemmed	Feed Forward Neural Network Model for Isopropyl Myristate Production in Industrial-scale Semi-batch Reactive Distillation Columns
title_short	Feed Forward Neural Network Model for Isopropyl Myristate Production in Industrial-scale Semi-batch Reactive Distillation Columns
title_sort	feed forward neural network model for isopropyl myristate production in industrial-scale semi-batch reactive distillation columns
topic	TA1-2040 Engineering (General). Civil engineering (General)
url	http://eprints.usm.my/42785/ http://eprints.usm.my/42785/ http://eprints.usm.my/42785/1/JES_Vol._11_2015_-_Art._6%2859-65%29.pdf

Feed Forward Neural Network Model for Isopropyl Myristate Production in Industrial-scale Semi-batch Reactive Distillation Columns

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