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...
| Main Authors: | , , , , , , |
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| Format: | Proceeding Paper |
| Language: | English English English English |
| Published: |
2015
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| Online Access: | 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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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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 |
| first_indexed | 2025-11-14T15:56:58Z |
| format | Proceeding Paper |
| id | iium-40164 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English English English |
| last_indexed | 2025-11-14T15:56:58Z |
| publishDate | 2015 |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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 |
| 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 |
| title | 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_short | An ensemble CRT, RVFLN, SVM method for estimating Propane Spot Price |
| title_sort | ensemble crt, rvfln, svm method for estimating propane spot price |
| topic | Q350 Information theory |
| 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 |