Forecasting Model on General Budget Revenue of Regional Finance Based on Dynamic Combination of BP Neural Network

摘要：

The paper constructs a model which dynamically combines explanatory BP neural network and time series BP neural network to forecast the general budget revenue of regional finance. By using the explanatory BP neural network, the model meets the various factors on the impact of regional financial revenue and by using the time series BP neural network, the revenues time correlation is met Then according to the characteristics of regional financial revenue, adjust the weighting factor. By MATLAB simulation, the forecasting results show smaller deviation than other methods in the references. Its forecasting result is relatively accurate. The model can help solve the forecasting problem of regional financial revenue more effectively.

关键词： dynamic combination explanatory neural network time series neural network revenue of regional finance forecasting

作者: He Mao Dongsheng Liu Yongqin Jin Jianmin Lin

作者单位: College of Computer Science & Information Engineering, ZhejiangGongshang University HangZhou 310018 College of Computer Science & Information Engineering, ZhejiangGongshang University HangZhou 310018 Department of Finance Information Center,Zhejiang Province HangZhou 310018 China College of Computer Science & Information Engineering, ZhejiangGongshang University HangZhou 310018

会议类型: 国际会议

会议名称: 2010 International Conference of Informationa Science and Management Engineering(2010年信息科学与管理工程国际学术会议 ISME 2010)

会议地点: 西安

会议语种:英文

页码: 282-286

在线出版日期: 2010-08-07（万方平台首次上网日期，不代表论文的发表时间）