For SVM, in this paper, a kernel function selection and parameter adjustment algorithm are presented. It can get optimal parameter adjustment in a given training set.
对于SVM，本文给出了一个核函数选择与参数调整的算法，它能够对给定训练集得到最优的参数调整。
The optimal iterative search process includes the selection of the parameter optimization algorithm, the gray interpolation calculation during the process of coordinate transformation.
其中优化迭代搜索过程又包括各参数优化算法的选取、坐标变换过程中灰度的插值计算等。
The optimal iterative search process includes the selection of the parameter optimization algorithm, the gray interpolation calculation during the process of coordinate transformation.
其中优化迭代搜索过程又包括各参数优化算法的选取、坐标变换过程中灰度的插值计算等。
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