Long-Term Sales Forecast Method Based on Grey Model and Artificial Neural Network

Yi Jun Wang; Hong Ying Tang

doi:10.4028/www.scientific.net/AMM.385-386.1726

Paper Titles

An Adaptive Load Balancing Method of Adjustment Based on Cloud Computing Resources
p.1708

A New Watermarking Algorithm for Relational Database Copyright Protection
p.1713

A Bit Rate Control Adaptive Optimization Algorithm for H.264/AVC
p.1718

Iron Ore Grinding Energy Conservation Research Based on Neural Network
p.1722

Long-Term Sales Forecast Method Based on Grey Model and Artificial Neural Network
p.1726

Research on the Smart Grid Dispatching System Based on Cloud Computing
p.1730

Database Design for Archives Management System
p.1734

A Fast Scheduling Algorithm for Multiple User MIMO-MRC System
p.1738

Use of Information Technology in Design Interface Coordinate
p.1743

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 385-386Long-Term Sales Forecast Method Based on Grey...

Long-Term Sales Forecast Method Based on Grey Model and Artificial Neural Network

Abstract:

Long-term sales forecasting is a problem that has been focused on for a long time. In order to forecast the long-term sales of an industry or an enterprise accurately, a new method based on Grey Model and Artificial Neural Network is proposed in this paper. The effectiveness and feasibility of the proposed method is verified by simulation experiment using sales data of the manufacturing and trade industry provided by the U.S. government.

You might also be interested in these eBooks

Applied Scientific Research and Engineering Developments for Industry

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 385-386)

Pages:

1726-1729

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.385-386.1726

Citation:

Cite this paper

Online since:

August 2013

Authors:

Yi Jun Wang, Hong Ying Tang

Keywords:

Artificial Neural Network (ANN), Grey Model (GM), Sales Forecasting

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Guresen, Erkam; Kayakutlu, Gulgun; Daim, Tugrul U. Using artificial neural network models in stock market index prediction. Expert Systems with Applications, v38, pp.10389-10397, (2011).

DOI: 10.1016/j.eswa.2011.02.068

Google Scholar

[2] Li, Tong; Zhang, Shuyun; Xiong, Fengshan, A novel inventory level forecast model based on artificial neural network. 2008 ICMMIT 2008, pp.82-85.

DOI: 10.1109/mmit.2008.114

Google Scholar

[3] Xu, Jinglin; Gu, Mengyang. Realtime calibration of pulse oximetry based on grey model. 2010 OSA-IEEE-COS Advances in Optoelectronics and Micro/Nano-Optics.

DOI: 10.1109/aom.2010.5713537

Google Scholar

[4] Huang, Fengqiang; Li, Jing; Deng, Jianping. The prediction of China's population using GM (1, 1) and artificial neural network.

Google Scholar

[5] Lin, Yi; Liu, Sifeng. A historical introduction to grey systems theory. 2004 IEEE International Conference on Systems, Man and Cybernetics, v3, pp.2403-2408, (2004).

DOI: 10.1109/icsmc.2004.1400689

Google Scholar