摘要
对用于回归估计的标准SVR算法加以改进,提出了回归型支持向量机的一种改进算法。并针对医学上胆固醇含量测定问题进行了回归估计。实验表明,该算法在运算速度和回归估计精度的稳定性上都明显优于标准算法,特别适于解决大规模样本问题。
Based on the traditional support vector machine for regression,a improved algorithm of the SVM for regression is presented.The improved algorithm based methods are, used to determine serum cholesterol levels in medical science.The experimental results show that the proposed methods are much better than the traditional algorithm in learning speed and stability of accuracy,be applied in solving large-scale problems especially.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第6期96-97,103,共3页
Computer Engineering and Applications
基金
安徽省高校青年教师资助项目(No.2006jq1206)。
关键词
支持向量机
回归
算法
应用
SVM
regression
algorithm
application
