Combining Forecasting Model of Urban and Rural Income Disparity of Jiangsu Province Based on Improved BP Neural Network

摘要：

Based on the principles of combining forecasting theory, an improved BP neural network model is built combing gray prediction model, polynomial curve prediction model and improved structure of BP neural network, which is applied to forecast the income disparity between urban and rural residents of Jiangsu Province. The empirical results show that an improved BP neural network combining forecasting model has more highly forecasting precision than that of a single forecasting model and Jiangsu Province is seeing a widening gap in income between urban and rural residents.

关键词： Urban and Rural Incomes GM (1 1) Model Improved BP Neural Network Combining Forecasting Model

作者: SHANG Kai MAO Chunmei

作者单位: National Research Center for Resettlement of Hohai University, Nanjing, P.R.China, 210098 College of Public Administration of Hohai University, Nanjing, P.R.China, 210098

会议类型: 国际会议

会议名称: 2009 International Institute of Applied Statistics Studies(2009 国际应用统计学术研讨会)

会议地点: 青岛

会议语种:英文

页码: 1-5

在线出版日期: 2009-07-25（万方平台首次上网日期，不代表论文的发表时间）