Application in creditrating evaluation based on BP neural network
Jian Xu · Jisuanji yingyong yanjiu · 2007
This paper presented a new credit rating evaluation algorithm by combining genetic algorithm and back propagation(BP) neural network.It not only conquered the demerits such as long time net-training and easily running into local optimum in traditional BP network,but also improved the convergent efficiency of network by using GA.The model was implemented with C#.NET and SQL server 2000.The rationality of experiment results indicate that BP-based neural network can evaluate corporations accurately and efficiently by credit rating.