Orthogonal wavelet support vector machine for predicting crude oil prices
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...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Springer
2014
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/36930/ http://irep.iium.edu.my/36930/ http://irep.iium.edu.my/36930/ 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 |
Internet
http://irep.iium.edu.my/36930/http://irep.iium.edu.my/36930/
http://irep.iium.edu.my/36930/
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