Using artificial neural networks in financial optimization

被引：0

作者：

Dorneanu, Liliana ^{[1
]}

Untaru, Mircea ^{[1
]}

Darvasi, Doina ^{[1
]}

Rotarescu, Vasile ^{[1
]}

Cernescu, Lavinia ^{[1
]}

机构：

[1] Ioan Slavici Univ Timisoara, Fac Econ, Timisoara 300315, Romania

来源：

RECENT ADVANCES IN BUSINESS ADMINISTRATION | 2011年

关键词：

financial management; artificial neural networks; financial optimization; Matlab program; bankruptcy prediction; traditional methods;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

In this paper is presented a Matlab program structure for the implementation, training and use of a neural network used to predict bankruptcy. The use of artificial neural networks to predict firms' bankruptcy is extremely efficient, the prediction of accuracy percentage is higher than in the case of using traditional methods.

引用

页码：93 / 96

页数：4