A Realization Method of Intelligent Audit Based on Least Squares Support Vector Machine

Abstract

The invention provides an implementation method of intelligent auditing based on least squares support vector machine, which belongs to the technical field of computer applications. The method can be used in each process node of an ERP intelligent accounting system. On the basis of the machine, the idea of ​​population algorithm is introduced to improve the convergence speed and local misunderstanding problems. First, classify documents in different scenarios, and identify different types of documents with different restrictions, and then confirm whether the documents are reasonable and whether the amount relationship is correct. Corresponds to the error category. The invention can assist document submitters, approvers and auditors to quickly locate document problems, avoid the formation of erroneous documents, improve billing efficiency, improve auditing efficiency, standardize auditing standards, liberate the time and energy of financial personnel, and improve the correctness of bills of lading for billing people. Shorten the entire billing cycle.

Description

technical field [0001] The invention relates to the technical field of computer applications, is an implementation scheme for intelligent auditing of ERP financial software, and belongs to an implementation method for automatically identifying and classifying wrong documents for documents. The realization method of intelligent audit of vector machine. Background technique [0002] The ERP financial system is a system for managing procurement, supply, generation, reimbursement and other management work. More auditors to ensure the accuracy and validity of documents. [0003] Daily reporting, auditing, accounting, and settlement take up most of the time, making it difficult for financial personnel to learn and improve. At the same time, employee reporting is cumbersome, resulting in manual accounting and auditing work. It is prone to omissions. On the other hand, the audit rules are inconsistent, which takes a lot of time, making the audit speed of documents and the quality ...

AI Technical Summary

Problems solved by technology

[0003] Daily reimbursement, audit, accounting, and settlement take up most of the time, making it difficult for financial personnel to learn and improve. At the same time, staff reimbursement is cumbersome, resulting in manual accounting and audit work. On the one hand, there are many documents and audit content. Omissions are easy to occur. On the other hand, the audit rules are inconsistent and time-consuming, which makes the audit speed of documents and the quality of bills of lading low.