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....

Full description

Bibliographic Details
Main Authors: Bashah, Nur Alwani Ali, Othman, Mohd Roslee, Aziz, Norashid
Format: Article
Language:English
Published: Taylor's University 2015
Subjects:
Online Access:http://eprints.usm.my/42785/1/JES_Vol._11_2015_-_Art._6%2859-65%29.pdf
_version_ 1825834684045590528
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
collection USM
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 2024-03-06T15:26:23Z
format Article
id usm.eprints-42785
institution Universiti Sains Malaysia
language English
last_indexed 2024-03-06T15:26:23Z
publishDate 2015
publisher Taylor's University
record_format dspace
spelling usm.eprints-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/42785/1/JES_Vol._11_2015_-_Art._6%2859-65%29.pdf
work_keys_str_mv AT bashahnuralwaniali feedforwardneuralnetworkmodelforisopropylmyristateproductioninindustrialscalesemibatchreactivedistillationcolumns
AT othmanmohdroslee feedforwardneuralnetworkmodelforisopropylmyristateproductioninindustrialscalesemibatchreactivedistillationcolumns
AT aziznorashid feedforwardneuralnetworkmodelforisopropylmyristateproductioninindustrialscalesemibatchreactivedistillationcolumns