Title :
Credit risk assessment based on neural network
Author :
Lin, Yun ; Zhang, Yuan
Author_Institution :
Sch. of Manage., Capital Normal Univ., Beijing, China
Abstract :
Credit risk is one of the greatest risks faced by commercial banks in china. The BP neural network has self-learning ability, adaptive ability and fault tolerance. This paper adopts BP neural network to evaluate credit risk of 20 ceramic tile enterprises. The results show that credit risk evaluation using BP neural network and expert evaluation have the very good consistency.
Keywords :
backpropagation; bank data processing; ceramics; credit transactions; fault tolerance; neural nets; risk management; tiles; BP neural network; China; adaptive ability; ceramic tile enterprise; commercial bank; credit risk assessment; credit risk evaluation; fault tolerance; self-learning ability; Biological neural networks; Educational institutions; Indexes; Risk management; Training; assessment; credit risk; neural network;
Conference_Titel :
Natural Computation (ICNC), 2012 Eighth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4577-2130-4
DOI :
10.1109/ICNC.2012.6234739
