Artificial Neural Network Model Prediction of Glucose by Enzymatic Hydrolysis of Rice Straw

The aim of this paper is to predict the production of glucose using artificial neural network (ANN) and validation with the experimental values for hydrolysis process. The ANN consists of three layers which are input, hidden and output layer. The input layer is the manipulated variables in the ca...

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Main Authors: Jaya, Erniza Mohd Johan, Norhalim, Nur Atiqah, Ahmad, Zainal
Format: Article
Language:English
Published: Taylor's University 2014
Subjects:
Online Access:http://eprints.usm.my/42732/
http://eprints.usm.my/42732/1/JES_Vol._10_2014-Art._9-%2885-94%29.pdf
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author Jaya, Erniza Mohd Johan
Norhalim, Nur Atiqah
Ahmad, Zainal
author_facet Jaya, Erniza Mohd Johan
Norhalim, Nur Atiqah
Ahmad, Zainal
author_sort Jaya, Erniza Mohd Johan
building USM Institutional Repository
collection Online Access
description The aim of this paper is to predict the production of glucose using artificial neural network (ANN) and validation with the experimental values for hydrolysis process. The ANN consists of three layers which are input, hidden and output layer. The input layer is the manipulated variables in the case study, which are the activity of added cellulose, substrate initial concentration and hydrolysis time on the production of glucose while the output layer is the concentration of glucose. The performances of the model were evaluated using the coefficient of determination, mean square error and average relative deviation. The predictive model shows a good result as the coefficient of determination, 0.8361 was obtained with a small value of mean square error, 0.1947 and 5.644 as the average relative deviation. It clearly shows that ANN gives a good prediction on the enzymatic hydrolysis for the production of glucose
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institution Universiti Sains Malaysia
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language English
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publishDate 2014
publisher Taylor's University
recordtype eprints
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spelling usm-427322018-10-25T08:31:55Z http://eprints.usm.my/42732/ Artificial Neural Network Model Prediction of Glucose by Enzymatic Hydrolysis of Rice Straw Jaya, Erniza Mohd Johan Norhalim, Nur Atiqah Ahmad, Zainal TA1-2040 Engineering (General). Civil engineering (General) The aim of this paper is to predict the production of glucose using artificial neural network (ANN) and validation with the experimental values for hydrolysis process. The ANN consists of three layers which are input, hidden and output layer. The input layer is the manipulated variables in the case study, which are the activity of added cellulose, substrate initial concentration and hydrolysis time on the production of glucose while the output layer is the concentration of glucose. The performances of the model were evaluated using the coefficient of determination, mean square error and average relative deviation. The predictive model shows a good result as the coefficient of determination, 0.8361 was obtained with a small value of mean square error, 0.1947 and 5.644 as the average relative deviation. It clearly shows that ANN gives a good prediction on the enzymatic hydrolysis for the production of glucose Taylor's University 2014 Article PeerReviewed application/pdf en http://eprints.usm.my/42732/1/JES_Vol._10_2014-Art._9-%2885-94%29.pdf Jaya, Erniza Mohd Johan and Norhalim, Nur Atiqah and Ahmad, Zainal (2014) Artificial Neural Network Model Prediction of Glucose by Enzymatic Hydrolysis of Rice Straw. Journal of Engineering Science and Technology, 10. pp. 85-94. ISSN 1823-4690 http://web.usm.my/jes/10_2014/JES%20Vol.%2010%202014-Art.%209-(85-94).pdf
spellingShingle TA1-2040 Engineering (General). Civil engineering (General)
Jaya, Erniza Mohd Johan
Norhalim, Nur Atiqah
Ahmad, Zainal
Artificial Neural Network Model Prediction of Glucose by Enzymatic Hydrolysis of Rice Straw
title Artificial Neural Network Model Prediction of Glucose by Enzymatic Hydrolysis of Rice Straw
title_full Artificial Neural Network Model Prediction of Glucose by Enzymatic Hydrolysis of Rice Straw
title_fullStr Artificial Neural Network Model Prediction of Glucose by Enzymatic Hydrolysis of Rice Straw
title_full_unstemmed Artificial Neural Network Model Prediction of Glucose by Enzymatic Hydrolysis of Rice Straw
title_short Artificial Neural Network Model Prediction of Glucose by Enzymatic Hydrolysis of Rice Straw
title_sort artificial neural network model prediction of glucose by enzymatic hydrolysis of rice straw
topic TA1-2040 Engineering (General). Civil engineering (General)
url http://eprints.usm.my/42732/
http://eprints.usm.my/42732/
http://eprints.usm.my/42732/1/JES_Vol._10_2014-Art._9-%2885-94%29.pdf