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The Combination Forecasting Model for Financial Distress Prediction of Listed Corporations Based on Support Vector Machines

机译:基于支持向量机的上市公司财务遇险预测的组合预测模型

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This paper establishes a new model of financial distress prediction-the combination forecasting model based on support vector machines (CFSVM),with Chinese listed corporations as samples.After rectifying the model,it gets higher predicting precision.Compared to other warning models,the CFSVM model for listed corporations in financial distress prediction really has bigger application prospect because of its better characteristics such as higher accuracy rate.
机译:本文建立了一种新的财务困境预测模型 - 基于支持向量机(CFSVM)的组合预测模型,中市公司作为样本。纠正模型后,它得到了更高的预测精度。与其他警告模型,CFSVM上市公司的型号在财务困境预测中具有更大的应用前景,因为其更高的准确率特性。

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