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Chen, S.H. and Zhang, Y.M. (2009) Application of Binary Logistic Regression Analysis in Tax Inspection. Financial Computer of Huanan, 6, 48-49.

has been cited by the following article:

• TITLE: The Research of Tax Inspection Based on Generalized Regression Neural Network

  AUTHORS: Shihong Chen, Xiaoqing Liu

  KEYWORDS: Tax Inspection, Generalized Regression Neural Network

  JOURNAL NAME: Open Access Library Journal, Vol.2 No.1, January 28, 2015

  ABSTRACT: This paper tries to use the generalized regression neural network (in short: GRNN) to assist tax inspection case selection. First, this paper briefly introduces the theory of generalized regression neural network and applies it in the tax inspection. Second, it analyzes the financial statements and tax returns of 93 commercial enterprises, and then establishes the GRNN model and gets the analyzing result. Finally, the result is compared with the known taxation case. Then we get the conclusion that the generalized regression neural network method can help the tax inspection case selection and improve the efficiency and effectiveness of inspection work.