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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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Elsevier
2016
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| Subjects: | |
| Online Access: | 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 http://irep.iium.edu.my/51477/ http://www.sciencedirect.com/science/article/pii/S1568494616303180 |
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| Institution: | Universiti Islam Antarabangsa Malaysia |
| Language: | English English |