Taxation Forecasting M odel Based on BP Neural Network

Journal of South China University of Technology (Natural Science Edition) ›› 2006, Vol. 34 ›› Issue (6): 55-58.

• Electronics, Communication & Automation Technology • Previous Articles Next Articles

Taxation Forecasting M odel Based on BP Neural Network

Zhang Shao-qiu Hu Yue-ming

College of Automation Science and Engineering,South China Univ.of Tech.,Guangzhou 510640,Guangdong,China

Received:2005-06-07 Online:2006-06-25 Published:2006-06-25
Contact: 张绍秋(1969-)，男，博士生，主要从事控制理论与应用方面的研究 E-mail:zsq_gzb@21cn.net
About author:张绍秋(1969-)，男，博士生，主要从事控制理论与应用方面的研究

Abstract

Abstract:

In this paper,the BP(Back Propagation)neural network theory is applied to forecast taxation after ana’ lyzing the major factors affecting the tax.During the investigation,the original data are preprocessed to meet the re quirements of the study in BP neural network,and a taxation forecasting model based on BP neural network is es tablished.The proposed model is then verified by using actual data and is compared with the traditional statistic model.It is concluded that the proposed model is of hi gh precision and great applicability.

Key words: taxation forecasting, forecasting model, neural network

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Taxation Forecasting M odel Based on BP Neural Network

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