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Audit method and system based on convolutional neural network model and readable storage medium

A convolutional neural network and model technology, applied in the field of auditing methods, systems and readable storage media based on convolutional neural network models, can solve problems such as inability to adapt to auditing needs

Pending Publication Date: 2019-12-06
GUANGXI POWER GRID CO LTD NANNING POWER SUPPLY BUREAU
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Problems solved by technology

[0002] In recent years, with the rapid development of computer technology and informatization construction, the breadth and depth of informatization of economic management activities have also kept pace with the times. As an audit for the supervision, evaluation and verification of economic activities, it has encountered unprecedented challenges. Traditional manual Auditing can no longer adapt to the audit needs under the condition of informatization. The informatization of audit objects and the development of audit itself require that the audit operation method must keep pace with the times and make corresponding adjustments

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  • Audit method and system based on convolutional neural network model and readable storage medium

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[0053] In order to understand the above-mentioned purpose, features and advantages of the present invention more clearly, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0054] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described here. Therefore, the protection scope of the present invention is not limited by the specific details disclosed below. EXAMPLE LIMITATIONS.

[0055] figure 1 A schematic flow chart of an audit method based on a convolutional neural network model provided by an embodiment of the present invention; figure 1 As shown, the method can be appl...

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Abstract

The invention provides an auditing method and system based on a convolutional neural network model, and a readable storage medium. The method comprises the following steps: obtaining service data of at least one service of an auditing object; and inputting the business data of each business in the at least one business into a preset risk prediction model, and obtaining a risk value of each business and an abnormal value causing the risk.

Description

technical field [0001] The invention relates to the technical fields of artificial intelligence and data processing, in particular to an audit method, system and readable storage medium based on a convolutional neural network model. Background technique [0002] In recent years, with the rapid development of computer technology and informatization construction, the breadth and depth of informatization of economic management activities have also kept pace with the times. As an audit for the supervision, evaluation and verification of economic activities, it has encountered unprecedented challenges. Traditional manual Auditing has been unable to adapt to the audit needs under the condition of informatization. The informatization of audit objects and the development of audit itself require that the audit operation method must keep pace with the times and make corresponding adjustments. Therefore, it is imminent to adapt to the development trend of informatization, update the co...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/35G06N3/04G06N3/08G06Q10/06G06Q40/00
CPCG06F16/35G06N3/08G06Q10/06G06Q40/12G06N3/045
Inventor 李芳琳梁琦韦海玲施传新王胜
Owner GUANGXI POWER GRID CO LTD NANNING POWER SUPPLY BUREAU
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