基于动态数据的支持向量分类机模型

Classified Support Vector Machines Model Based on Dynamic Data

在支持向量分类机模型中,要从样本中选出具有代表性的数据作为输入值。一般地,选定的数据是静态的,但实际情况中数据是动态的。本文提出了基于动态数据的支持向量分类机模型,并给出了相应的证明和分析。

In model of classified Support Vector Machines, the typical data selected from samples can be used as import data which is generally static. But in fact,data is dynamic. In this paper, classified Support Vector Machines model based on dynamic data are raised.