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...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/16229/4/the_potential_of_artificial_neural_network_%28ANN%29_in_optimizing_media.pdf |
| _version_ | 1796876301487833088 |
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| 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 |
| collection | IIUM |
| 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. |
| first_indexed | 2024-03-05T22:50:28Z |
| format | Proceeding Paper |
| id | oai:generic.eprints.org:16229 |
| institution | International Islamic University Malaysia |
| language | English |
| last_indexed | 2024-03-05T22:50:28Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | oai:generic.eprints.org: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 Proceeding Paper 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. |
| 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 |
| title | 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_short | 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 |
| topic | TP Chemical technology |
| url | http://irep.iium.edu.my/16229/4/the_potential_of_artificial_neural_network_%28ANN%29_in_optimizing_media.pdf |
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