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Study on identification model of management fraud of China's listing Corporation based on factor analysis method and BP neural network

机译:基于因子分析和BP神经网络的中国上市公司管理舞弊识别模型研究

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In this paper, in order to analyze the management fraud of Chinese listing Corporation and the establishment of identification model of management fraud, we selected the 49 of management fraud of Chinese listing Corporation as analysis group and 49 normal listing Corporation as control group, and use factor analysis method to reduce the first 11of financial indicators to obtain 5 of comprehensive index. And we use BP neural network to training and modeling, at last establish an identification model of management fraud. Through test the BP identification model, the BP model can be considered as an effective model. Compared with only using the neural network, This combination model not only greatly reduces the data size but also can improve the correct rate of the recognition.
机译:为了分析中国上市公司的管理欺诈行为并建立管理欺诈识别模型,我们选择了49家中国上市公司的管理欺诈行为作为分析组,选择49家正常上市公司作为控制组,并采用因子分析法减少财务指标的前11个,得到5个综合指标。并利用BP神经网络进行训练和建模,最后建立了管理欺诈的识别模型。通过测试BP识别模型,可以将BP模型视为有效模型。与仅使用神经网络相比,该组合模型不仅大大减少了数据量,而且可以提高正确的识别率。

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