An Intelligent Modeling of Oil Consumption

In this study, we select Middle East countries involving Jordan, Lebanon, Oman, and Saudi Arabia for modeling oil consumption based on computational intelligence methods. The limitations associated with Levenberg-Marquardt (LM) Neural Network (NN) motivated this research to optimize the parameters o...

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Main Authors:	Chiroma, Haruna, Abdulkareem, Sameem, Muaz, Sanah Abdullahi, Abubakar, Adamu I., Sutoyo, Edi, Mungad , Mungad, Saadi, Younes, Sari, Eka Novita, Tutut, Herawan
Format:	Book Section
Published:	Springer International Publishing 2015
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/8251/ http://umpir.ump.edu.my/id/eprint/8251/ http://umpir.ump.edu.my/id/eprint/8251/

id	ump-8251
recordtype	eprints
spelling	ump-82512016-06-14T06:14:38Z http://umpir.ump.edu.my/id/eprint/8251/ An Intelligent Modeling of Oil Consumption Chiroma, Haruna Abdulkareem, Sameem Muaz, Sanah Abdullahi Abubakar, Adamu I. Sutoyo, Edi Mungad , Mungad Saadi, Younes Sari, Eka Novita Tutut, Herawan QA76 Computer software In this study, we select Middle East countries involving Jordan, Lebanon, Oman, and Saudi Arabia for modeling oil consumption based on computational intelligence methods. The limitations associated with Levenberg-Marquardt (LM) Neural Network (NN) motivated this research to optimize the parameters of NN through Artificial Bee Colony Algorithm (ABC-LM) to build a model for the prediction of oil consumption. The proposed model was competent to predict oil consumption with improved accuracy and convergence speed. The ABC-LM performs better than the standard LMNN, Genetically optimized NN, and Back-propagation NN. The proposed model may guide policy makers in the formulation of domestic and international policies related to oil consumption and economic development. The approach presented in the study can easily be implemented into a software for use by the government of Jordan, Lebanon, Oman, and Saudi Arabia. Springer International Publishing 2015 Book Section PeerReviewed Chiroma, Haruna and Abdulkareem, Sameem and Muaz, Sanah Abdullahi and Abubakar, Adamu I. and Sutoyo, Edi and Mungad , Mungad and Saadi, Younes and Sari, Eka Novita and Tutut, Herawan (2015) An Intelligent Modeling of Oil Consumption. In: Advances in Intelligent Informatics. Advances in Intelligent Systems and Computing, 320 . Springer International Publishing, Switzerland, pp. 557-568. ISBN 978-3-319-11217-6 (print); 978-3-319-11218-3 (online) http://dx.doi.org/10.1007/978-3-319-11218-3_50 DOI: 10.1007/978-3-319-11218-3_50
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
topic	QA76 Computer software
spellingShingle	QA76 Computer software Chiroma, Haruna Abdulkareem, Sameem Muaz, Sanah Abdullahi Abubakar, Adamu I. Sutoyo, Edi Mungad , Mungad Saadi, Younes Sari, Eka Novita Tutut, Herawan An Intelligent Modeling of Oil Consumption
description	In this study, we select Middle East countries involving Jordan, Lebanon, Oman, and Saudi Arabia for modeling oil consumption based on computational intelligence methods. The limitations associated with Levenberg-Marquardt (LM) Neural Network (NN) motivated this research to optimize the parameters of NN through Artificial Bee Colony Algorithm (ABC-LM) to build a model for the prediction of oil consumption. The proposed model was competent to predict oil consumption with improved accuracy and convergence speed. The ABC-LM performs better than the standard LMNN, Genetically optimized NN, and Back-propagation NN. The proposed model may guide policy makers in the formulation of domestic and international policies related to oil consumption and economic development. The approach presented in the study can easily be implemented into a software for use by the government of Jordan, Lebanon, Oman, and Saudi Arabia.
format	Book Section
author	Chiroma, Haruna Abdulkareem, Sameem Muaz, Sanah Abdullahi Abubakar, Adamu I. Sutoyo, Edi Mungad , Mungad Saadi, Younes Sari, Eka Novita Tutut, Herawan
author_facet	Chiroma, Haruna Abdulkareem, Sameem Muaz, Sanah Abdullahi Abubakar, Adamu I. Sutoyo, Edi Mungad , Mungad Saadi, Younes Sari, Eka Novita Tutut, Herawan
author_sort	Chiroma, Haruna
title	An Intelligent Modeling of Oil Consumption
title_short	An Intelligent Modeling of Oil Consumption
title_full	An Intelligent Modeling of Oil Consumption
title_fullStr	An Intelligent Modeling of Oil Consumption
title_full_unstemmed	An Intelligent Modeling of Oil Consumption
title_sort	intelligent modeling of oil consumption
publisher	Springer International Publishing
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/8251/ http://umpir.ump.edu.my/id/eprint/8251/ http://umpir.ump.edu.my/id/eprint/8251/
first_indexed	2023-09-18T22:05:37Z
last_indexed	2023-09-18T22:05:37Z
_version_	1777414687785222144

An Intelligent Modeling of Oil Consumption

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