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

• 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/40164/1/18_-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; http://irep.iium.edu.my/40164/; http://link.springer.com/chapter/10.1007%2F978-3-319-13153-5_3#page-1
• Institution: Universiti Islam Antarabangsa Malaysia

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...