BP Neural Network for Company's Financial Distress Predicting

被引：0
|
作者：
Ke Jianfei [1 ]
机构：
[1] Huaqiao Univ, Sch Econ & Finance, Quanzhou 362021, Peoples R China
来源：
2011 INTERNATIONAL CONFERENCE ON COMPUTERS, COMMUNICATIONS, CONTROL AND AUTOMATION (CCCA 2011), VOL III | 2010年
关键词：
BP neural network; financial distress; test; prediction;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper adopts the BP neural network to establish a model of financial distress predicting. After training and learning the samples repeatedly, we got an accuracy of 94% to the training sample and of 91.4% to the testing sample. The result shows that it is an effective method for financial distress predicting. The study also indicates the BP neural network model has a broad application and actual value in analyzing the financial condition of a company.
引用
收藏
页码：293 / 296
页数：4
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