TAX REVENUE FORECASTING BASED ON BP NEURAL NETWORK

摘要：

It is difficult to accurately analyze forecasting of tax revenue. Based on BP neural network, this thesis establishes a tax forecasting model which is characterized by its convergence speed, accuracy and generalization. The thesis proves that it is practical to analyze the highly nonlinear tax revenue forecasting through the neural network. It is of promotion value.

关键词： taz revenue forecasting nonlinear neural network

作者: SHEN Cun-gen ZHOU Kai-jun ZHANG Wen-zhen

作者单位: School of Business, Hehai University.Nanjing 210098,China Party School of State Administration of Taxation, China

会议类型: 国际会议

会议名称: 第八届分布式计算及其应用国际学术研讨会(The 8th International Symposium on Distributed Computing and Applications to Business,Engineering and Science)

会议地点: 武汉

会议语种:英文

页码: 225-227

在线出版日期: 2009-10-16（万方平台首次上网日期，不代表论文的发表时间）