重庆理工大学学报：自然科学Issue(10)：66-70,5.
基于混合核函数的支持向量机
Support Vector Machine Based on Hybrid Kernel Function
摘要
Abstract
Support vector machine uses the kernel function to realize nonlinear mapping from the original input space to a high dimension space,and kernel function is the core of support vector machine,it is also the part which is difficult to understand the support vector machine.Because each of ordinary kernel functions has advantages and drawbacks,in order to get another kernel function with strong learning ability and generalization performance,this paper studies two kernel function of support vector machine,global kernel function（linear kernel function） and local kernel function（RBF kernel function）,and presents combination kernel function of support vector machine.Through the experiment results comparing,the results show that its performance is better than that of other SVMs constructed by ordinary kernel function.关键词
支持向量机/混合核函数/局部核函数/全局核函数Key words
support vector machine/hybrid kernel function/local kernel function/global kernel function分类
计算机与自动化引用本文复制引用
邬啸,魏延,吴瑕..基于混合核函数的支持向量机[J].重庆理工大学学报：自然科学,2011,(10):66-70,5.基金项目
重庆市教委科学技术研究项目 （）
