The potential of artificial neural network (ANN) in optimizing bioconversion process: in case of media constituents of citric acid production from palm oil Empty Fruit Bunches (EFB)
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/3170/1/Final_ICBIOE_2011_-_ANN_-_Ricca.pdf |
| _version_ | 1796874973095133184 |
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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 were 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 | 2024-03-05T22:32:05Z |
| format | Proceeding Paper |
| id | oai:generic.eprints.org:3170 |
| institution | International Islamic University Malaysia |
| language | English |
| last_indexed | 2024-03-05T22:32:05Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | oai:generic.eprints.org:31702011-10-14T03:08:59Z http://irep.iium.edu.my/3170/ The potential of artificial neural network (ANN) in optimizing bioconversion process: in case of media constituents of citric acid production from palm oil Empty Fruit Bunches (EFB) Nasaruddin, Ricca Rahman Jami, Mohammed Saedi Alam, Md. Zahangir TP155 Chemical engineering 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 were 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. 2011-05 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/3170/1/Final_ICBIOE_2011_-_ANN_-_Ricca.pdf Nasaruddin, Ricca Rahman and Jami, Mohammed Saedi and Alam, Md. Zahangir (2011) The potential of artificial neural network (ANN) in optimizing bioconversion process: in case of media constituents of citric acid production from palm oil Empty Fruit Bunches (EFB). In: 2nd International Conference on Biotechnology Engineering (ICBioE 2011), 17 - 19 May 2011, Kuala Lumpur. http://www.iium.edu.my/icbioe/2011/ |
| spellingShingle | TP155 Chemical engineering Nasaruddin, Ricca Rahman Jami, Mohammed Saedi Alam, Md. Zahangir The potential of artificial neural network (ANN) in optimizing bioconversion process: in case of media constituents of citric acid production from palm oil Empty Fruit Bunches (EFB) |
| title | The potential of artificial neural network (ANN) in optimizing bioconversion process: in case of media constituents of citric acid production from palm oil Empty Fruit Bunches (EFB) |
| title_full | The potential of artificial neural network (ANN) in optimizing bioconversion process: in case of media constituents of citric acid production from palm oil Empty Fruit Bunches (EFB) |
| title_fullStr | The potential of artificial neural network (ANN) in optimizing bioconversion process: in case of media constituents of citric acid production from palm oil Empty Fruit Bunches (EFB) |
| title_full_unstemmed | The potential of artificial neural network (ANN) in optimizing bioconversion process: in case of media constituents of citric acid production from palm oil Empty Fruit Bunches (EFB) |
| title_short | The potential of artificial neural network (ANN) in optimizing bioconversion process: in case of media constituents of citric acid production from palm oil Empty Fruit Bunches (EFB) |
| title_sort | potential of artificial neural network ann in optimizing bioconversion process in case of media constituents of citric acid production from palm oil empty fruit bunches efb |
| topic | TP155 Chemical engineering |
| url | http://irep.iium.edu.my/3170/1/Final_ICBIOE_2011_-_ANN_-_Ricca.pdf |
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