Orthogonal wavelet support vector machine for predicting crude oil prices

• 主要な著者: Chiroma, Haruna, Abdul-Kareem, Sameem, Abubakar, Adamu, Zeki, Akram M., Usman, Mohammed Joda
• フォーマット: Proceeding Paper
• 言語: English; English
• 出版事項: Springer 2014
• 主題: T Technology (General)
• オンライン･アクセス: http://irep.iium.edu.my/36930/4/Orthogonal_Wavelet_Support_Vector_Machine_for_Predicting_Crude_Oil_Prices%2B.pdf; http://irep.iium.edu.my/36930/7/36930_Orthogonal%20wavelet%20support%20vector%20machine%20for%20predicting%20crude%20oil%20prices.SCOPUS.pdf; http://irep.iium.edu.my/36930/; http://link.springer.com/chapter/10.1007%2F978-981-4585-18-7_23

Previous studies mainly used radial basis, sigmoid, polynomial, linear, and hyperbolic functions as the kernel function for computation in the neurons of conventional support vector machine (CSVM) whereas orthogonal wavelet requires less number of iterations to converge than these listed kernel func...