Economic Analysis on Tax Model based on BP Neural Network

被引：1
|
作者：
Shen Cungen [1 ]
Zhang Wenzhen [1 ]
机构：
[1] Hehai Univ, Sch Business, Yangzhou Tax Inst, Yangzhou, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLUMES I & II: COMMUNICATIONS, NETWORKS AND SIGNAL PROCESSING, VOL I/ELECTRONIC DEVICES, CIRUITS AND SYSTEMS, VOL II | 2009年
关键词：
D O I：
10.1109/ICCCAS.2009.5250449
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：569 / 572
页数：4
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