Selection of support vector machines parameters for regression using nested grids

The paper examines support vector machines for regression problem. Analysis of different grid types for selection of SVM parameters is conducted. Experimental results obtained on the basis of applying nested grids are presented, and efficiency of regression problem solution with various support vector machine parameters values is investigated.