Optimization of neural network through genetic algorithm searches for the prediction of international crude oil price based on energy products prices

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...

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Bibliographic Details
Main Authors: Chiroma, Haruna, Ya’u Gital, Abdulsalam, Abubakar, Adamu, Usman, Mohammed Joda, Waziri, Usman
Format: Conference or Workshop Item
Language:English
Published: ACM 2014
Subjects:
T Technology (General)
Online Access: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
id iium-37900
recordtype eprints
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 Conference or Workshop Item 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/
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic T Technology (General)
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
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.
format Conference or Workshop Item
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
title 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_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_sort optimization of neural network through genetic algorithm searches for the prediction of international crude oil price based on energy products prices
publisher ACM
publishDate 2014
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
first_indexed 2023-09-18T20:54:21Z
last_indexed 2023-09-18T20:54:21Z
_version_ 1777410204160229376

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