节点文献
支持向量机中未确知信息的处理方法
Processing Method of the Unascertained Information in Support Vector Machines
【摘要】 介绍了构建未确知支持向量机的设想,在构建未确知支持向量机的未确知机会约束规范模型的基础上,提出了未确知支持向量机模型转化为其确知等价类的方法,并给出了一个具体算例说明该方法是可行的.
【Abstract】 The idea of building the unascertained support vector machine is introduced.Base on the model of the unascertained chance constrained programming of the unascertained support vector machine,a method on how to change the unascertained support vector machine into its ascertain equivalence classes is proposed.Numerical example is given to demonstrate that the method is feasible.
【关键词】 支持向量机;
机会约束规划;
未确知有理数;
未确知训练集;
【Key words】 support vectort machine; chance constrained programming; unascertained rational number; unascertained training set;
【Key words】 support vectort machine; chance constrained programming; unascertained rational number; unascertained training set;
【基金】 山东省自然科学基金(Y2008A01);国家自然科学基金(10971122)
- 【文献出处】 鲁东大学学报(自然科学版) ,Ludong University Journal(Natural Science Edition) , 编辑部邮箱 ,2011年01期
- 【分类号】TP181
- 【下载频次】102