Font Size: a A A

Expanding Design Research And Implementation Of Financial Management System In ERP

Posted on:2010-04-08Degree:MasterType:Thesis
Country:ChinaCandidate:J JiFull Text:PDF
GTID:2189360278960641Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
With the economic development, ERP is widely used in enterprises and corporations. The implementation and application of ERP can bring huge profits, and accumulate datum for companies. However, due to fierce market competition, companies must support not only work flow, but also speedy and accurate information acquisition from accumulated datum for decision-making. Under this circumstance, ERP systems put more and more emphasis on data processing, analysis and early warning functions. In FMS (Finance Management System), decision makers need AMS (Alarm Management System), Financial Analysis and Financial Prediction to help make decision about corporations'long-term planning, investment strategy and risk avoidance.On the base of existing HowWell ERP, this paper is aimed to research into and realize expanded functions of financial management subsystem:In combination with advanced financial management theory and actual demand in enterprises, this paper analyzes the functions in detail and expanded demand, finds out the existing disadvantages, brings forward the scheme of functional extension, and does research on function model of extended modules and their implementation.Based on theoretical analysis and practical applications and combining warning index and artificial neural network, this paper, firstly, expounded the classification, selection, pretreatment methods of financial risk index. Secondly, this paper analyses BP algorithm, introduces adjustable parameters to excitation function to improve BP algorithm, thus accelerates convergence rate. Finally, this pa??realizes neural network module in financial risk early warning system, and then give a forecast for financial risk early-warning index.
Keywords/Search Tags:Financial Management System, Financial Risk Early Warning, BP Algorithm Neural Network
PDF Full Text Request
Related items