基于FOA算法的Logistic回归模型的财务预警研究
An Research of Financial Early Warning About Logistic Model Based on FOA
制造行业中企业的财务危机频发使得财务预警系统显得格外的重要.针对现有的预警模型对制造业企业的财务风险预测精度不高的问题,以最近两年被特别处理的上市公司为研究对象,将FOA算法与Logistic财务预警模型相结合构建了FOA-Logistic财务预警模型,并对其进行了测试,测试结果显示FOA-Logistic的识别率大幅提升,证明了模型的有效性.
Frequent manufacturing industry enterprise's financial crisis makes financial early warning system is particularly important. In view of the existing early warning model prediction accuracy of manufacturing enterprise is not high, this article will treat ST companiesin last two years as the research object and combine FOA algorithm with Logistic financial early warning model to build the FOA - Logistic financial early warning model, and carries on the test. The test results showed that the FOA - Logistic recognition rate soared, which proved the validity of the model.
果蝇优化算法 / 财务预警 / Logistic回归模型 / 财务风险. {{custom_keyword}} /
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