摘要
根据传统的SVM算法原理,提出一种新的基于连续的和过程化的SVM算法,该算法在分类结果上不再局限于两类分类问题的离散情况,是一种支持向量的动态选择算法。将该算法应用于证券领域中,结果表明该算法是有效且正确的。
On the basis of the traditional support vector machine (SVM) algorithm principle, this paper proposed a new kind of SVM algorithm base on the continuous and procedure algorithm. Compared with the traditional algorithm, it is no longer limited at the only two values, and is a new algorithm of dynamical selection for support vector. This algorithm is applied to the field of securities, result shows that the algorithm is effective and correct.
出处
《华南理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2003年第7期15-18,共4页
Journal of South China University of Technology(Natural Science Edition)
关键词
支持向量机
连续
过程
证券技术分析
波形理论
预测
support vector machine
continuous
procedure
technological analysis of the securities
waved theory
prediction
