Tax administration big data analysis method using restricted Boltzmann machine

Abstract

The invention discloses a tax administration big data analysis method using a restricted Boltzmann machine, and belongs to the field of computer big data processing. The method specifically includes the steps that a two-layer map is established through the restricted Boltzmann machine, nodes on the same layer are not connected, one layer is a visual layer v including input tax risk data, the other layer is a hidden layer h corresponding to training results, and the training results in the hidden layer h correspond to the input data of the visual layer v; the hidden layer h is used for defining the training results and joint configuration energy; the joint probability distribution of configuration is determined through Boltzmann distribution and joint configuration energy; the probability of the visual layer is determined through the training results of the hidden layer h; the probability of the hidden layer h is determined through the input data of the visual layer v; the corresponding training results of the tax administration big data in the visual layer and the input data in the hidden layer can be analyzed. By the adoption of the method, the case choice accuracy of tax risk management is improved, and the condition that basic taxation staff look for tax risk points manually is further changed.

Description

technical field [0001] The invention discloses a tax big data analysis method, which belongs to the field of computer big data processing, and specifically relates to a tax big data analysis method using a restricted Boltzmann machine. Background technique [0002] In the past, tax assessment was to determine the status of the tax assessment object based on experience and the tax source situation mastered in daily work, which was time-consuming and prone to loopholes. The same ruler was used to measure every taxpayer. Some problems are easily overlooked. Later, tax assessment is carried out through data analysis, and data indicators are entered into the analysis system to evaluate the quality and efficiency of tax payment. Relying on big data analysis technology, tax risk management divides taxpayers into different risk levels. For low-risk taxpayers, risk reminders are adopted to give taxpayers the opportunity to take the initiative to correct; for medium-risk taxpayers, ta...

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Problems solved by technology

[0004] The present invention aims at the existing tax payment system, due to the information asymmetry of the two parties, the pertinence of audit and case selection is not strong, the high-risk enterprises pushed by the tax risk management system are not highly directional, the risk points are not clear, and the accuracy of case selection is greatly reduced The problem is to provide a tax big data analysis method using a restricted Boltzmann machine to complete the analysis of tax big data

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