A Deep Learning Model for ERP Enterprise Financial Management System

With the advent of the information age, the need for information technology construction is beginning to be realized when working in corporate financial management. The application of ERP systems to financial management has become a major trend in the development of modern society. This can help com...

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Main Author: Hui Zhang
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Advances in Multimedia
Online Access:http://dx.doi.org/10.1155/2022/5783139
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author Hui Zhang
author_facet Hui Zhang
author_sort Hui Zhang
collection DOAJ
description With the advent of the information age, the need for information technology construction is beginning to be realized when working in corporate financial management. The application of ERP systems to financial management has become a major trend in the development of modern society. This can help companies collect financial information in real time and analyze and process the obtained information. This paper first gives the significance and models of the ERP financial management system. Then, a financial risk prediction model based on a deep learning model is designed. The method proposes an improved temporal convolutional network-long and short-term memory network (TCN_LSTM) structure and introduces an optimization algorithm to optimize the parameters of the deep learning model. Finally, several benchmark models and evaluation methods are used for comparative study. The experimental results show that the deep learning risk prediction model has significant superiority in prediction accuracy and stability. The proposed model can help enterprises organize their limited resources, realize the scientific allocation of enterprise resources, and create more benefits for enterprises.
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spelling doaj-art-e1a17b23f60c4629bb426c8ec274e2b82025-08-20T03:20:59ZengWileyAdvances in Multimedia1687-56992022-01-01202210.1155/2022/5783139A Deep Learning Model for ERP Enterprise Financial Management SystemHui Zhang0School of Economics and ManagementWith the advent of the information age, the need for information technology construction is beginning to be realized when working in corporate financial management. The application of ERP systems to financial management has become a major trend in the development of modern society. This can help companies collect financial information in real time and analyze and process the obtained information. This paper first gives the significance and models of the ERP financial management system. Then, a financial risk prediction model based on a deep learning model is designed. The method proposes an improved temporal convolutional network-long and short-term memory network (TCN_LSTM) structure and introduces an optimization algorithm to optimize the parameters of the deep learning model. Finally, several benchmark models and evaluation methods are used for comparative study. The experimental results show that the deep learning risk prediction model has significant superiority in prediction accuracy and stability. The proposed model can help enterprises organize their limited resources, realize the scientific allocation of enterprise resources, and create more benefits for enterprises.http://dx.doi.org/10.1155/2022/5783139
spellingShingle Hui Zhang
A Deep Learning Model for ERP Enterprise Financial Management System
Advances in Multimedia
title A Deep Learning Model for ERP Enterprise Financial Management System
title_full A Deep Learning Model for ERP Enterprise Financial Management System
title_fullStr A Deep Learning Model for ERP Enterprise Financial Management System
title_full_unstemmed A Deep Learning Model for ERP Enterprise Financial Management System
title_short A Deep Learning Model for ERP Enterprise Financial Management System
title_sort deep learning model for erp enterprise financial management system
url http://dx.doi.org/10.1155/2022/5783139
work_keys_str_mv AT huizhang adeeplearningmodelforerpenterprisefinancialmanagementsystem
AT huizhang deeplearningmodelforerpenterprisefinancialmanagementsystem