Economic Analysis on Taz Model based on BP Neural Network
It is difficult to accurately analyze forecasting of tax income. This thesis establishes a tax forecasting model based on BP neural network to analyze impacts imposed on tax income by changes of the following economic factors: industrial added value, total investment in fixed assets, total volume of import and export, total volume of fiscal expenditure, resident consumption level, etc. The thesis proves that it is practical to analyze the highly nonlinear tax income forecasting through the neural network. It is of promotion value.
SHEN Cungen ZHANG Wenzhen
Business School of Hehai University, Yangzhou Tax Institute Yangzhou, China
国际会议
2009国际通信电路与系统学术会议(ICCCAS 2009)(2009 International Conference on Communications，Circuits and Systems)
成都
英文
569-572
2009-07-23（万方平台首次上网日期，不代表论文的发表时间）