An ensemble CRT, RVFLN, SVM method for estimating Propane Spot Price

In this paper, we propose an ensemble of the CRT-RVFLN-SVM (Classification and Regression Tree (CRT), Random Variable Functional Link Neural Network (RVFLN), and Support Vector Machine (SVM)) to improve robustness and effectiveness in estimating propane spot price. The propane spot price data which...

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Main Authors:	Haruna, Chiroma, Sameem, Abdul-kareem, Abdulsalam, Gital, Sanah, Abdullahi Muaz, Adamu, Abubakar Ibrahim, Mungad, Mu, Tutut, Herawan
Format:	Conference or Workshop Item
Language:	English English English English
Published:	2015
Subjects:	Q350 Information theory
Online Access:	http://irep.iium.edu.my/40164/ http://irep.iium.edu.my/40164/ http://irep.iium.edu.my/40164/1/18_-An_Ensemble_CRT%2C_RVFLN%2C_SVM_Method_for_Estimating_Propane_Spot_Price.pdf http://irep.iium.edu.my/40164/4/bfm_978-3-319-13153-5_1_Adamu.pdf http://irep.iium.edu.my/40164/7/Adamu_front_pg.pdf http://irep.iium.edu.my/40164/9/40164_An%20ensemble%20CRT%2C%20RVFLN%2C%20SVM%20method_Scopus.pdf

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spelling	iium-401642017-09-19T10:40:02Z http://irep.iium.edu.my/40164/ An ensemble CRT, RVFLN, SVM method for estimating Propane Spot Price Haruna, Chiroma Sameem, Abdul-kareem Abdulsalam, Gital Sanah, Abdullahi Muaz Adamu, Abubakar Ibrahim Mungad, Mu Tutut, Herawan Q350 Information theory In this paper, we propose an ensemble of the CRT-RVFLN-SVM (Classification and Regression Tree (CRT), Random Variable Functional Link Neural Network (RVFLN), and Support Vector Machine (SVM)) to improve robustness and effectiveness in estimating propane spot price. The propane spot price data which are collected from the Energy Information Administration of the US Department of Energy and Barchart were used to build an ensemble CRT-RVFLN-SVM model for the estimating of propane spot price. For the purpose of evaluation, the constituted intelligent computing technologies of the proposed ensemble methodology in addition to Multilayer Back-Propagation Neural Network (MBPNN) were also applied to estimate the propane spot price. Experimental results show that the proposed ensemble CRT-RVFLN-SVM model has improved the performance of CRT, RVFLN, SVM, and MBPNN. The can help to reduce the level of future uncertainty of the propane spot price. Propane investors can use our model as an alternative investment tool for generating more revenue because accurate estimations of future propane price implies generating more profits 2015 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/40164/1/18_-An_Ensemble_CRT%2C_RVFLN%2C_SVM_Method_for_Estimating_Propane_Spot_Price.pdf application/pdf en http://irep.iium.edu.my/40164/4/bfm_978-3-319-13153-5_1_Adamu.pdf application/pdf en http://irep.iium.edu.my/40164/7/Adamu_front_pg.pdf application/pdf en http://irep.iium.edu.my/40164/9/40164_An%20ensemble%20CRT%2C%20RVFLN%2C%20SVM%20method_Scopus.pdf Haruna, Chiroma and Sameem, Abdul-kareem and Abdulsalam, Gital and Sanah, Abdullahi Muaz and Adamu, Abubakar Ibrahim and Mungad, Mu and Tutut, Herawan (2015) An ensemble CRT, RVFLN, SVM method for estimating Propane Spot Price. In: Fourth INNS Symposia Series on Computational Intelligence in Information Systems (INNS-CIIS 2014), 7-9 November 2014, Brunei. http://link.springer.com/chapter/10.1007%2F978-3-319-13153-5_3#page-1
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English English
topic	Q350 Information theory
spellingShingle	Q350 Information theory Haruna, Chiroma Sameem, Abdul-kareem Abdulsalam, Gital Sanah, Abdullahi Muaz Adamu, Abubakar Ibrahim Mungad, Mu Tutut, Herawan An ensemble CRT, RVFLN, SVM method for estimating Propane Spot Price
description	In this paper, we propose an ensemble of the CRT-RVFLN-SVM (Classification and Regression Tree (CRT), Random Variable Functional Link Neural Network (RVFLN), and Support Vector Machine (SVM)) to improve robustness and effectiveness in estimating propane spot price. The propane spot price data which are collected from the Energy Information Administration of the US Department of Energy and Barchart were used to build an ensemble CRT-RVFLN-SVM model for the estimating of propane spot price. For the purpose of evaluation, the constituted intelligent computing technologies of the proposed ensemble methodology in addition to Multilayer Back-Propagation Neural Network (MBPNN) were also applied to estimate the propane spot price. Experimental results show that the proposed ensemble CRT-RVFLN-SVM model has improved the performance of CRT, RVFLN, SVM, and MBPNN. The can help to reduce the level of future uncertainty of the propane spot price. Propane investors can use our model as an alternative investment tool for generating more revenue because accurate estimations of future propane price implies generating more profits
format	Conference or Workshop Item
author	Haruna, Chiroma Sameem, Abdul-kareem Abdulsalam, Gital Sanah, Abdullahi Muaz Adamu, Abubakar Ibrahim Mungad, Mu Tutut, Herawan
author_facet	Haruna, Chiroma Sameem, Abdul-kareem Abdulsalam, Gital Sanah, Abdullahi Muaz Adamu, Abubakar Ibrahim Mungad, Mu Tutut, Herawan
author_sort	Haruna, Chiroma
title	An ensemble CRT, RVFLN, SVM method for estimating Propane Spot Price
title_short	An ensemble CRT, RVFLN, SVM method for estimating Propane Spot Price
title_full	An ensemble CRT, RVFLN, SVM method for estimating Propane Spot Price
title_fullStr	An ensemble CRT, RVFLN, SVM method for estimating Propane Spot Price
title_full_unstemmed	An ensemble CRT, RVFLN, SVM method for estimating Propane Spot Price
title_sort	ensemble crt, rvfln, svm method for estimating propane spot price
publishDate	2015
url	http://irep.iium.edu.my/40164/ http://irep.iium.edu.my/40164/ http://irep.iium.edu.my/40164/1/18_-An_Ensemble_CRT%2C_RVFLN%2C_SVM_Method_for_Estimating_Propane_Spot_Price.pdf http://irep.iium.edu.my/40164/4/bfm_978-3-319-13153-5_1_Adamu.pdf http://irep.iium.edu.my/40164/7/Adamu_front_pg.pdf http://irep.iium.edu.my/40164/9/40164_An%20ensemble%20CRT%2C%20RVFLN%2C%20SVM%20method_Scopus.pdf
first_indexed	2023-09-18T20:57:36Z
last_indexed	2023-09-18T20:57:36Z
_version_	1777410408454291456

An ensemble CRT, RVFLN, SVM method for estimating Propane Spot Price

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