Financial Risk Detection Based on Neural Network Method
Shenghua Yu · Caijing lilun yu shijian · 2005
In this paper we apply neural network prediction method to financial risk detection on the basic of the database of listed companies' released information.The empirical study indicates that the company financial situation detection model based on neural network not only bring the fidelity up to 100%,but also significantly improve the accuracy ration of detection.Not like the other data mining researches made by Chinese scholars,our work pays more attention to practice application than to theory analysis.A whole procedure of knowledge discovery of database through neural network method is demonstrated in the paper.