A new approach for forecasting OPEC petroleum consumption based on neural network train by using flower pollination algorithm

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A new approach for forecasting OPEC petroleum consumption based on neural network train by using flower pollination algorithm

Petroleum is the live wire of modern technology and its operations, with economic development being positively linked to petroleum consumption. Many meta-heuristic algorithms have been proposed in literature for the optimization of Neural Network (NN) to build a forecasting model. In this paper, as...

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Bibliographic Details
Main Authors:	Haruna, Chiroma, Khan, Abdullah, Abubakar, Adamu, Saudi, Younes, Hamza, Mukhtar Fatihu, Shuiba, Liyana, Gital, Abdulsalam, Herawan, Tutut
Format:	Article
Language:	English English
Published:	Elsevier 2016
Subjects:	QA76 Computer software
Online Access:	http://irep.iium.edu.my/51477/ http://irep.iium.edu.my/51477/1/A_new_approach_for_forecasting_OPEC_petroleum_consumption_based_on_neural_network_train_by_using_flowerpollination_algorithm.pdf http://irep.iium.edu.my/51477/4/51477_A_new_approach_for_forecasting_OPEC_petroleum_SCOPUS.pdf

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