作　　者： ;

机构地区： 广东外语外贸大学国际商务英语学院

出　　处： 《统计与决策》 2017年第2期33-36,共4页

摘　　要： 文章利用支持向量机进行财务危机模型类别化设定及样本类别化训练,获得基于SVM的财务危机在风险程度差异化基础上的检验样本,由对应的检验样本形成分类别预警。研究基于风险预测类别化的线性转化获得各类型层的训练样本支持向量,并向样本集进行基于遗传算法粗糙集属性约简的决策知识表达系统预测层级化处理和最小二乘SVM(LS-SVM)的财务危机预测。 With the training on the sample and model classification through the utilization of support vector machine（SVM）, this assay obtains the test sample based on the degree of risk differentiation in financial crisis. And then to form the classification warning by the corresponding test sample.The paper conducts a hierarchical processing on the forecast of decision knowledge expression system by the attribute reduction based on the genetic algorithm rough set against sample sets as well as LS-SVM prediction on the financial crisis after the acquisition of training sample support vector based on the linear transformation of crisis prediction.

关 键 词： 财务危机 预测 遗传算法

领　　域： []