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...

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Main Authors: Jami, Mohammed Saedi, Alam, Md. Zahangir, Nasaruddin, Ricca Rahman
Format: Conference or Workshop Item
Language:English
Published: 2010
Subjects:
Online Access:http://irep.iium.edu.my/3268/
http://irep.iium.edu.my/3268/1/My_proceeding.pdf
id iium-3268
recordtype eprints
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 Conference or Workshop Item 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.
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TP155 Chemical engineering
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
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.
format Conference or Workshop Item
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
title 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_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_sort oil palm empty fruit bunches as recyclable waste for production of citric acid: optimization using artificial neural network
publishDate 2010
url http://irep.iium.edu.my/3268/
http://irep.iium.edu.my/3268/1/My_proceeding.pdf
first_indexed 2023-09-18T20:11:02Z
last_indexed 2023-09-18T20:11:02Z
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