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Research on Enterprise Financial Risks Evaluation Based on the Gray Relevance Theory

机译:基于灰色关联理论的企业财务风险评估研究

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In order to prevent the financial risks of enterprises effectively, the risks evaluation is of great importance. This paper analyses the main factors that affect enterprise financial risks by using the T-test and nonparametric test in statistical software SPSS15.0 and the gray relevance theory (GRA). These factors are considered as the input variables of BP neural network and 56 enterprises are selected as samples to be trained and tested. The results show that featured by fast speed and high prediction accuracy, this model serves as an efficient and practical method for the evaluation of enterprise financial risks in our country.
机译:为了有效地防范企业的财务风险,风险评估具有重要意义。本文使用统计软件SPSS15.0中的T检验和非参数检验以及灰色关联理论(GRA),分析了影响企业财务风险的主要因素。这些因素被认为是BP神经网络的输入变量,并选择了56家企业作为样本进行训练和测试。结果表明,该模型具有速度快,预测准确度高的特点,是评价我国企业财务风险的一种有效,实用的方法。

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