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Design And Implementation Of Financial Management System Based On BP Neural Network

Posted on:2019-02-03Degree:MasterType:Thesis
Country:ChinaCandidate:Y Y LiFull Text:PDF
GTID:2428330566470916Subject:Engineering
Abstract/Summary:
Currently,financial management systems are used in many companies.Companies using financial management systems have achieved satisfactory results in formulating financial plans,strengthening financial controls,and improving the efficiency of financial management.In addition,the financial management system can provide information support for enterprise decision-making,and can also analyze and process the data.Therefore,the application of financial management system can help improve the standardization of financial management and provide support for the healthy operation of the enterprise.When some companies develop financial management systems,they usually start with the current financial management needs of the company.They do not design the functions of the financial management system from the perspective of market demand.This paper combines the actual needs of companies that sell their goods for their main business and aims to develop a convenient financial management software.In the design process of this article,in order to better complete the design of the sales company's financial management module,this article combines the JSP(Java Sever Pages)technology and JAVA language development,first of all,the system needs analysis,combined with demand analysis,conducted Financial management system asset management,work records,comprehensive budget management,financial accounting management and many other features.The overall design idea of the system was determined.Based on the system analysis,combined with the process of UML(Unified Modeling Language)modeling,the system's main modules were designed through the timing diagram and flow chart of the system.The ultimate goal of the system is to improve the efficiency of corporate financial management.)After a comprehensive and scientific test,it is known that the system implements all of these functions.In practical applications,the system can also be subject to specific conditions,and appropriate adjustments and modifications can be made to achieve more applications.This feature reflects the flexibility and stability of the system.This is a financial management system with high security and simple operation.In addition,in the design process of this article,through the analysis of the algorithm of BP neural network,the asset management in the financial management process is evaluated and analyzed,and the intelligent management of the financial management system is effectively realized.When querying user information in the background of the system,the system cannot fully present all the information of the user,which results in the administrator not being able to fully understand the user's situation and affecting the system administrator to audit the user's identity.At the beginning of designing the system,the definition of the user's operation authority was not considered comprehensively,which resulted in the design of the system login interface being not ideal and failing to achieve the desired effect.When testing the system,I discovered that the system still had some flaws in reviewing new user identities,but corrected them in a timely manner and added a group that waits to verify the validity of user identities in the system.The new users all belong to this group.Responsible for management,users complete the registration information,the system will send an audit request to the system administrator,requiring the system administrator to review the identity of new users.This system mainly adopts the structured development ideas in the development process.Along with the application and analysis of the final system management,it can more accurately reflect the current system functional design and improve the efficiency of the company's financial management.
Keywords/Search Tags:finance management, JSP, SQL server 2008, neural network, asset evaluation
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