Intelligent auditing implementation method based on least square support vector machine

Abstract

The invention provides an intelligent auditing implementation method based on a least square support vector machine, and belongs to the technical field of computer application; the method can be usedat each process node of an ERP intelligent reimbursement system, introduces a population algorithm thought on the basis of a traditional least square support vector machine, and improves the convergence rate and the local misunderstanding problem. Firstly, different scene receipts are classified, different types of receipts are identified through different restrictions, then whether the receipts are reasonable or not and whether the amount association relation is correct or not are determined, meanwhile, corresponding grade prompts are conducted on receipt returning risks according to limitingfactor influence factors, and the receipts are classified into corresponding error types after risk values are reached. The method can assist a bill submitter, an approver and an auditor in quickly positioning the bill problem, avoids wrong bill formation, improves the reimbursement efficiency, improves the auditing efficiency, standardizes the auditing standard, liberates the time and energy offinancial personnel, improves the bill taking correctness of the reimbursement person, and shortens the whole reimbursement period.

Description

technical field [0001] The invention relates to the field of computer application technology, and is an implementation scheme for intelligent auditing of ERP financial software, which belongs to an implementation method for automatic identification and classification of wrong documents for documents, and more specifically designs a method using least squares support The realization method of the intelligent audit of the vector machine. Background technique [0002] The ERP financial system is a system that manages procurement, supply, generation, and reimbursement. With the development and growth of the enterprise, there are more and more people, and the documents that need to be processed in the system become complex and diverse, so I joined More auditors to ensure the accuracy and validity of documents. [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 tim...

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.