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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/42785/1/JES_Vol._11_2015_-_Art._6%2859-65%29.pdf
http://eprints.usm.my/42785/
http://web.usm.my/jes/11_2015/JES%20Vol.%2011%202015%20-%20Art.%206(59-65).pdf
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spelling my.usm.eprints.42785 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
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 TA1-2040 Engineering (General). Civil engineering (General)
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
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.
format Article
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
title 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_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_sort feed forward neural network model for isopropyl myristate production in industrial-scale semi-batch reactive distillation columns
publisher Taylor's University
publishDate 2015
url http://eprints.usm.my/42785/1/JES_Vol._11_2015_-_Art._6%2859-65%29.pdf
http://eprints.usm.my/42785/
http://web.usm.my/jes/11_2015/JES%20Vol.%2011%202015%20-%20Art.%206(59-65).pdf
_version_ 1643710575299002368
score 13.18916

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