Grey Predicting Model: Rice Output of Baise City

Da Ming Xu; De Wang Li; Wu Sheng Wang

doi:10.4028/www.scientific.net/AMM.556-562.3442

Paper Titles

The Research and Application of Web-Based Data Mining Technology
p.3424

On Clustering Algorithm Studies for Ad Hoc Wireless Sensor Network
p.3427

Expected Cost Based Greedy Scheduling Algorithm for Out-Tree Task Graphs
p.3431

Design and Development of Online Advertising Budget Analysis and Optimization of Delivery System
p.3438

Grey Predicting Model: Rice Output of Baise City
p.3442

XML Data Mining Model Based on Rough Set Theory
p.3446

Research on Deformation Analysis of Time-Varying Point Cloud
p.3450

A Novel Symbolic Representation Based on Fast Segmentation
p.3456

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Grey Predicting Model: Rice Output of Baise City

Grey Predicting Model: Rice Output of Baise City

Abstract:

By using rice output data of Baise statistical yearbook from 1989 to 2010, based on the Grey theory and Grey forecast models, which are GM(1,1), have been adopted to predict the rice output of Baise city in this paper. So we get the GM(1,1) prediction model and predict the rice production of Baise city from 2011 to 2020. The results show that the Grey theory model in predicting rice output is feasibility and reasonable.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

3442-3445

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.3442

Citation:

Cite this paper

Online since:

May 2014

Authors:

Da Ming Xu*, De Wang Li, Wu Sheng Wang

Keywords:

Analysis, Grey Theory Model, Predict, Rice Output

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] J. L. Deng: Control problems of Grey systems. System and Control Letters, Vol. 5 (1982), pp.288-294.

Google Scholar

[2] S. Emil and D. Camelia: Complete analysis of bankruptcy syndrome using Grey systems theory. Grey systems: Theory and Application, Vol. 1 (2011), pp.19-32.

DOI: 10.1108/20439371111106704

Google Scholar

[3] M. Huang, Y. He and H. Y. Cen: Predictive analysis on electric-power supply and demand in China. Renewable Energy , Vol. 32, No. 7(2007), pp.1165-1174.

DOI: 10.1016/j.renene.2006.04.005

Google Scholar

[4] S. J. Zhang and Y. He: A Grey–Markov forecasting model for forecasting the total power requirement of agricultural machinery in Shangxi Province. J Shanxi Agric Univ (Nat Sci Edi), Vol. 21, No. 3(2001), pp.299-302.

Google Scholar

[5] Diyar Akay, Mehmet Atak: Grey prediction with rolling mechanism for electricity demand forecasting of Turkey. Energy, Vol. 32, No. 9(2007), pp.1670-1675.

DOI: 10.1016/j.energy.2006.11.014

Google Scholar

[6] Y.H. Hao, L. X. Zhang, T. Wei and X. M. Wang: Piecewise Analysis and Prediction of Spring Flow Based ON GM(1, 1) Model. Advances in Grey Systems Research, Vol. 0(2010), pp.153-164.

DOI: 10.1007/978-3-642-13938-3_14

Google Scholar

[7] D. Wang, S.F. Yin, C. Chen, J.H. Wu and G.L. Wang: Application of GM(1, 1) Model on Predicating the Outpatient Amount. Advances in Intelligent and Soft Computing, Vol. 129(2012).

DOI: 10.1007/978-3-642-25986-9_12

Google Scholar