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对目前银行评级算法使用的传统的支持向量机进行了改进,构造了多核函数;平衡了核函数的全局性和局部性,有利于对样本数据的学习和推广;最后利用改进的支持向量机构造银行评级的算法。
This paper improves the traditional support vector machine used in the current bank grading algorithm and constructs polynomial functions. It balances the global and locality of the kernel function, which is beneficial to the learning and popularization of the sample data. Finally, the improved support vector machine Bank rating algorithm.