Optimization of neural network through genetic algorithm searches for the prediction of international crude oil price based on energy products prices
This study investigated the prediction of crude oil price based on energy product prices using genetically optimized Neural Network (GANN). It was found from experimental evidence that the international crude oil price can be predicted based on energy product prices. The comparison of the prediction...
| Main Authors: | , , , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
ACM
2014
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/37900/ http://irep.iium.edu.my/37900/1/Optimization_of_Neural_Network_through_Genetic_Algorithm_Searches_for_the_Prediction_of_International_Crude_Oil_Price_based_on_Energy_Products_Prices.pdf |
| _version_ | 1848781495945134080 |
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| author | Chiroma, Haruna Ya’u Gital, Abdulsalam Abubakar, Adamu Usman, Mohammed Joda Waziri, Usman |
| author_facet | Chiroma, Haruna Ya’u Gital, Abdulsalam Abubakar, Adamu Usman, Mohammed Joda Waziri, Usman |
| author_sort | Chiroma, Haruna |
| building | IIUM Repository |
| collection | Online Access |
| description | This study investigated the prediction of crude oil price based on energy product prices using genetically optimized Neural Network (GANN). It was found from experimental evidence that the international crude oil price can be predicted based on energy product prices. The comparison of the prediction performance accuracy of the propose GANN with Support Vector Machine (SVM), Vector Autoregression (VAR), and Feed Forward NN (FFNN) suggested that the propose GANN was more accurate than the SVM, VAR, and FFNN in the prediction accuracy and time computational complexity. The propose GANN was able to improve the performance accuracy of the comparison algorithms. Our approach can easily be modified for the prediction of similar commodities. |
| first_indexed | 2025-11-14T15:50:29Z |
| format | Proceeding Paper |
| id | iium-37900 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:50:29Z |
| publishDate | 2014 |
| publisher | ACM |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-379002018-06-12T07:36:18Z http://irep.iium.edu.my/37900/ Optimization of neural network through genetic algorithm searches for the prediction of international crude oil price based on energy products prices Chiroma, Haruna Ya’u Gital, Abdulsalam Abubakar, Adamu Usman, Mohammed Joda Waziri, Usman T Technology (General) This study investigated the prediction of crude oil price based on energy product prices using genetically optimized Neural Network (GANN). It was found from experimental evidence that the international crude oil price can be predicted based on energy product prices. The comparison of the prediction performance accuracy of the propose GANN with Support Vector Machine (SVM), Vector Autoregression (VAR), and Feed Forward NN (FFNN) suggested that the propose GANN was more accurate than the SVM, VAR, and FFNN in the prediction accuracy and time computational complexity. The propose GANN was able to improve the performance accuracy of the comparison algorithms. Our approach can easily be modified for the prediction of similar commodities. ACM 2014-05-20 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/37900/1/Optimization_of_Neural_Network_through_Genetic_Algorithm_Searches_for_the_Prediction_of_International_Crude_Oil_Price_based_on_Energy_Products_Prices.pdf Chiroma, Haruna and Ya’u Gital, Abdulsalam and Abubakar, Adamu and Usman, Mohammed Joda and Waziri, Usman (2014) Optimization of neural network through genetic algorithm searches for the prediction of international crude oil price based on energy products prices. In: CF '14 Proceedings of the 11th ACM Conference on Computing Frontiers, 20-22 May 2014, Cagliari, Italy . http://computingfrontiers.org/2014/ |
| spellingShingle | T Technology (General) Chiroma, Haruna Ya’u Gital, Abdulsalam Abubakar, Adamu Usman, Mohammed Joda Waziri, Usman Optimization of neural network through genetic algorithm searches for the prediction of international crude oil price based on energy products prices |
| title | Optimization of neural network through genetic algorithm searches for the prediction of international crude oil price based on energy products prices |
| title_full | Optimization of neural network through genetic algorithm searches for the prediction of international crude oil price based on energy products prices |
| title_fullStr | Optimization of neural network through genetic algorithm searches for the prediction of international crude oil price based on energy products prices |
| title_full_unstemmed | Optimization of neural network through genetic algorithm searches for the prediction of international crude oil price based on energy products prices |
| title_short | Optimization of neural network through genetic algorithm searches for the prediction of international crude oil price based on energy products prices |
| title_sort | optimization of neural network through genetic algorithm searches for the prediction of international crude oil price based on energy products prices |
| topic | T Technology (General) |
| url | http://irep.iium.edu.my/37900/ http://irep.iium.edu.my/37900/ http://irep.iium.edu.my/37900/1/Optimization_of_Neural_Network_through_Genetic_Algorithm_Searches_for_the_Prediction_of_International_Crude_Oil_Price_based_on_Energy_Products_Prices.pdf |