Artificial Neural Networks for Corporation Credit Rating Analysis

Author

Yijun, Liu ; Qiuru, Cai ; Ye, Luo ; Jin, Qian ; Feiyue, Ye

Author_Institution

Sch. of Comput. Sci. & Eng., Jiangsu Teachers Univ. of Technol., Changzhou

Volume

1

fYear

2009

fDate

30-31 May 2009

Firstpage

81

Lastpage

84

Abstract

In this study we are trying with the neural network model to make an effective analysis for corporation credit rating. A 12-25-1 three-layer feedforward neural network using the backpropagation and Levenberg-Marquardt algorithms has been used in the proposed artificial neural network. The experiment results show that this network is efficient and forms a useful tool for the prediction of corporation credit rating.

Keywords

backpropagation; bank data processing; credit transactions; feedforward neural nets; Levenberg-Marquardt algorithm; artificial neural network; backpropagation; corporation credit rating analysis; feedforward neural network; Artificial neural networks; Backpropagation algorithms; Biological neural networks; Bonding; Computer networks; Feedforward neural networks; Investments; Multi-layer neural network; Neural networks; Risk analysis; Levenberg-Marquardt algorithm; backpropagation; credit rating; neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Networking and Digital Society, 2009. ICNDS '09. International Conference on

Conference_Location

Guiyang, Guizhou

Print_ISBN

978-0-7695-3635-4

Type

conf

DOI

10.1109/ICNDS.2009.26

Filename

5116216