Application of backpropagation neural network based on levenberg-marquardt algorithm in detection of fraudulent financial statements

被引：0
|
作者：
Deng Qingshan [1 ]
Mei Guoping [1 ]
机构：
[1] Jiangxi Univ Finance & Econ, UFIDA Sch Software, Nanchang 330013, Jiangxi Prov, Peoples R China
来源：
ADVANCED COMPUTER TECHNOLOGY, NEW EDUCATION, PROCEEDINGS | 2007年
关键词：
neural network; levenberg-marquardt algorithm; fraudulent financial statements;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Neural network, a sort of nonlinear model, has been successfully applied in many fields. Considering the features of fraudulent financial statements, six financial indexes are selected as recognition variables according to an index similar to signal-to-noise ratio. In addition, a BP neural network model based on Levenberg-Marquardt algorithm is used to detect fraudulent financial statements of public companies. The experimental result shows that the model is of high accuracy and effective in the detection of fraudulent financial statements.
引用
收藏
页码：151 / 154
页数：4
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