Modeling Mechanism of Grey Neural Network and Its Application

摘要：

In this paper, based on amalgamation of grey DGM(2,1) model and forward neural network, the grey neural network(DGNNM(2,1)) is put forward. Moreover, the relationship between parameters and the neural networks’ weights is presented, and the learning algorithm of the DGNNM(2,1) is also proposed. Because the learning error of the DGNNM(2,1) can be controlled effectively, the model’s precision is to be improved correspondingly. Finally, the grey neural network is used to build the model of Chinese per-capita building areas. The result of its application shows the effectiveness of the DGNNM(2,1).

作者: Junfeng Li Aiping Yang Wenzhan Dai

会议类型: 国际会议

会议名称: 2007年IEEE灰色系统与智能服务国际会议(2007 IEEE International Conference on Grey Systems and Intelligent Services)

会议地点: 南京

会议语种:英文

在线出版日期: 2007-11-18（万方平台首次上网日期，不代表论文的发表时间）