Oil palm empty fruit bunches as recyclable waste for production of citric acid: optimization using artificial neural network
This work aims at recycling oil palm empty fruit bunches (EFB) as renewable resource. Comparative studies between artificial neural network (ANN) and Response surface methodology (RSM) in fermentation media optimization for the production of citric acid from EFB have been conducted. In a previo...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/3268/ http://irep.iium.edu.my/3268/1/My_proceeding.pdf |
| _version_ | 1848776127191973888 |
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| author | Jami, Mohammed Saedi Alam, Md. Zahangir Nasaruddin, Ricca Rahman |
| author_facet | Jami, Mohammed Saedi Alam, Md. Zahangir Nasaruddin, Ricca Rahman |
| author_sort | Jami, Mohammed Saedi |
| building | IIUM Repository |
| collection | Online Access |
| description | This work aims at recycling oil palm empty fruit bunches
(EFB) as renewable resource. Comparative studies
between artificial neural network (ANN) and Response
surface methodology (RSM) in fermentation media
optimization for the production of citric acid from EFB
have been conducted. In a previous work, RSM method
was employed to optimize the media constituents through
solid state bioconversion using Aspergillus niger. In this
study, the same optimization was done by using ANN.
The predictive and generalization ability of both ANN
and RSM were compared using similar dataset of 20
experiments. The correlation coefficient (R value) for
ANN and RSM models were 0.985 and 0.997,
respectively, indicating the superiority of ANN in
capturing the non-linear behavior of the system. The
sensitivity analysis performed by both methods has given
comparable results. EFB is a suitable renewable raw
material for bioconversion into value added products to
curb the air-pollution from EFB burning which causes
serious environmental problem. |
| first_indexed | 2025-11-14T14:25:09Z |
| format | Proceeding Paper |
| id | iium-3268 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:25:09Z |
| publishDate | 2010 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-32682011-10-07T01:19:38Z http://irep.iium.edu.my/3268/ Oil palm empty fruit bunches as recyclable waste for production of citric acid: optimization using artificial neural network Jami, Mohammed Saedi Alam, Md. Zahangir Nasaruddin, Ricca Rahman TP155 Chemical engineering This work aims at recycling oil palm empty fruit bunches (EFB) as renewable resource. Comparative studies between artificial neural network (ANN) and Response surface methodology (RSM) in fermentation media optimization for the production of citric acid from EFB have been conducted. In a previous work, RSM method was employed to optimize the media constituents through solid state bioconversion using Aspergillus niger. In this study, the same optimization was done by using ANN. The predictive and generalization ability of both ANN and RSM were compared using similar dataset of 20 experiments. The correlation coefficient (R value) for ANN and RSM models were 0.985 and 0.997, respectively, indicating the superiority of ANN in capturing the non-linear behavior of the system. The sensitivity analysis performed by both methods has given comparable results. EFB is a suitable renewable raw material for bioconversion into value added products to curb the air-pollution from EFB burning which causes serious environmental problem. 2010-06-22 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/3268/1/My_proceeding.pdf Jami, Mohammed Saedi and Alam, Md. Zahangir and Nasaruddin, Ricca Rahman (2010) Oil palm empty fruit bunches as recyclable waste for production of citric acid: optimization using artificial neural network. In: 2nd International Conference of the Institution of Engineering and Technology (IET), 21 - 22 June 2010, Brunei Darussalam. |
| spellingShingle | TP155 Chemical engineering Jami, Mohammed Saedi Alam, Md. Zahangir Nasaruddin, Ricca Rahman Oil palm empty fruit bunches as recyclable waste for production of citric acid: optimization using artificial neural network |
| title | Oil palm empty fruit bunches as recyclable waste for production of citric acid: optimization using artificial neural network |
| title_full | Oil palm empty fruit bunches as recyclable waste for production of citric acid: optimization using artificial neural network |
| title_fullStr | Oil palm empty fruit bunches as recyclable waste for production of citric acid: optimization using artificial neural network |
| title_full_unstemmed | Oil palm empty fruit bunches as recyclable waste for production of citric acid: optimization using artificial neural network |
| title_short | Oil palm empty fruit bunches as recyclable waste for production of citric acid: optimization using artificial neural network |
| title_sort | oil palm empty fruit bunches as recyclable waste for production of citric acid: optimization using artificial neural network |
| topic | TP155 Chemical engineering |
| url | http://irep.iium.edu.my/3268/ http://irep.iium.edu.my/3268/1/My_proceeding.pdf |