Credit risk assessment based on neural network

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.