The potential of artificial neural Ntwork (ANN) in optimizing media constituents of citric acid production

The potential of artificial neural Ntwork (ANN) in optimizing media constituents of citric acid production

This work aims at optimizing the media constituents for citric acid production from oil palm empty fruit bunches (EFB) as renewable resource using artificial neural network (ANN) approach. The bioconversion process was done through solid state bioconversion using Aspergillus niger. ANN model was bui...

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Main Authors: Nasaruddin, Ricca Rahman, Jami, Mohammed Saedi, Alam, Md. Zahangir
Format: Conference or Workshop Item
Language:English
Published: 2011
Subjects:
TP Chemical technology
Online Access:http://irep.iium.edu.my/16229/
http://irep.iium.edu.my/16229/4/the_potential_of_artificial_neural_network_%28ANN%29_in_optimizing_media.pdf
id iium-16229
recordtype eprints
spelling iium-162292012-01-31T08:45:02Z http://irep.iium.edu.my/16229/ The potential of artificial neural Ntwork (ANN) in optimizing media constituents of citric acid production Nasaruddin, Ricca Rahman Jami, Mohammed Saedi Alam, Md. Zahangir TP Chemical technology This work aims at optimizing the media constituents for citric acid production from oil palm empty fruit bunches (EFB) as renewable resource using artificial neural network (ANN) approach. The bioconversion process was done through solid state bioconversion using Aspergillus niger. ANN model was built using MATLAB software. A 20 dataset of an earlier published paper was used to developed ANN. The predictive and generalization ability of ANN and the results of RSM in the used published paper were compared. The determination coefficient (R2-value) for ANN and RSM models was 0.997 and 0.985, respectively, indicating the superiority of ANN in capturing the non-linear behavior of the system. Validation process was done and the maximum citric acid production (147.74 g/kg-EFB) was achieved using the optimal solution from ANN which consists of 6.1% sucrose, 9.2% mineral solution and 15.0% inoculum. 2011 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/16229/4/the_potential_of_artificial_neural_network_%28ANN%29_in_optimizing_media.pdf Nasaruddin, Ricca Rahman and Jami, Mohammed Saedi and Alam, Md. Zahangir (2011) The potential of artificial neural Ntwork (ANN) in optimizing media constituents of citric acid production. In: 2nd International Conference on Biotechnology Engineering (ICBioE 2011), 17-19 May 2011, The Legend Hotel, Kuala Lumpur.
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
Nasaruddin, Ricca Rahman
Jami, Mohammed Saedi
Alam, Md. Zahangir
The potential of artificial neural Ntwork (ANN) in optimizing media constituents of citric acid production
description This work aims at optimizing the media constituents for citric acid production from oil palm empty fruit bunches (EFB) as renewable resource using artificial neural network (ANN) approach. The bioconversion process was done through solid state bioconversion using Aspergillus niger. ANN model was built using MATLAB software. A 20 dataset of an earlier published paper was used to developed ANN. The predictive and generalization ability of ANN and the results of RSM in the used published paper were compared. The determination coefficient (R2-value) for ANN and RSM models was 0.997 and 0.985, respectively, indicating the superiority of ANN in capturing the non-linear behavior of the system. Validation process was done and the maximum citric acid production (147.74 g/kg-EFB) was achieved using the optimal solution from ANN which consists of 6.1% sucrose, 9.2% mineral solution and 15.0% inoculum.
format Conference or Workshop Item
author Nasaruddin, Ricca Rahman
Jami, Mohammed Saedi
Alam, Md. Zahangir
author_facet Nasaruddin, Ricca Rahman
Jami, Mohammed Saedi
Alam, Md. Zahangir
author_sort Nasaruddin, Ricca Rahman
title The potential of artificial neural Ntwork (ANN) in optimizing media constituents of citric acid production
title_short The potential of artificial neural Ntwork (ANN) in optimizing media constituents of citric acid production
title_full The potential of artificial neural Ntwork (ANN) in optimizing media constituents of citric acid production
title_fullStr The potential of artificial neural Ntwork (ANN) in optimizing media constituents of citric acid production
title_full_unstemmed The potential of artificial neural Ntwork (ANN) in optimizing media constituents of citric acid production
title_sort potential of artificial neural ntwork (ann) in optimizing media constituents of citric acid production
publishDate 2011
url http://irep.iium.edu.my/16229/
http://irep.iium.edu.my/16229/4/the_potential_of_artificial_neural_network_%28ANN%29_in_optimizing_media.pdf
first_indexed 2023-09-18T20:25:06Z
last_indexed 2023-09-18T20:25:06Z
_version_ 1777408364337168384

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