Research on Neural Network Cost Prediction Model Based on the Rough Sets Theory in ERP

Author

Zhang, X.F.

Author_Institution

Res. Center of Cluster & Enterprise Dev., Jiangxi Univ. of Finance & Economic, Nanchang

fYear

2008

fDate

17-19 Oct. 2008

Firstpage

332

Lastpage

335

Abstract

Whether an enterprise is able to survive during the cruel competition or not is mostly dependent on the cost of investment. Enterprise resource planning (ERP) has been adopting by more and more enterprises and acquires comprehensive admit because it brings out great benefit for the enterprises. A framework of the system coupled by the cost management of ERP is designed. How to design a rough and artificial neutral network is analyzed based on the theory of rough sets with some reduction. The model based rough sets neural network prediction is more efficient and higher precision than BP model in cost prediction.

Keywords

costing; enterprise resource planning; investment; neural nets; rough set theory; ERP; cost management; enterprise resource planning; investment; neural network cost prediction model; rough sets theory; Artificial neural networks; Conference management; Costs; Databases; Economic forecasting; Enterprise resource planning; Knowledge management; Neural networks; Predictive models; Rough sets; ERP; Neural Network; cost;

fLanguage

English

Publisher

ieee

Conference_Titel

Management of e-Commerce and e-Government, 2008. ICMECG '08. International Conference on

Conference_Location

Jiangxi

Print_ISBN

978-0-7695-3366-7

Type

conf

DOI

10.1109/ICMECG.2008.54

Filename

4656651