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PREDICTION OF CRUDE OIL PRICES USING SUPPORT VECTOR REGRESSION (SVR) WITH GRID SEARCH –CROSS VALIDATION ALGORITHM

Abstract The aim of this research is forecasting crude oil prices using Support Vector Regression (SVR). Algorithm to determine the optimal parameters in the model using the SVR is a grid search algorithm. This algorithm divides the range of parameters to be optimized into the grid and across all pointsRead More

February 24, 2017 , , , , , Academic Publication No Comments »