Applied Research on ER Algorithm of Gray Modeling

Yong Li; Li Ping Tan; Bao Ru Xu

doi:10.4028/www.scientific.net/AMR.179-180.1384

Paper Titles

Fast Measurement of Fruit Tree Nitrogen Status Based on Multi-Color LEDs and BP-ANN
p.1364

Study on a Flexure Hinge-Based Micro-Displacement Platform
p.1368

Static Var Compensator Technology and its Progress
p.1374

Response Analysis of Asphalt Pavement on Vehicle Dynamic Load Based on Numerical Method
p.1380

Applied Research on ER Algorithm of Gray Modeling
p.1384

Applying Ant Colony System to Solve Construction Time-Cost Tradeoff Problem
p.1390

Studies on Adsorption of Tyrosine on Multi-Wall Carbon Nanotubes
p.1396

Voltage Control Principle Analysis of Permanent Magnet Generator
p.1402

Video Vehicle Tracking Based on Improved Mean-Shift Algorithm
p.1408

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 179-180Applied Research on ER Algorithm of Gray Modeling

Applied Research on ER Algorithm of Gray Modeling

Abstract:

To improve the precision of gray modeling in forest fire and solve the problem of small date modeling, ER algorithm is proposed. Based on the senior introduced the robust estimation to gray modeling, this method interpolate the modeling date again. The method can achieve small date (3 dates) modeling. This research compared with three calculation methods: least squares method, least squares interpolation method and ER algorithm. According to the fitting precision, least squares method is 10.21%, least squares interpolation method is 1.08% and ER algorithm is 0.00%. That can be obtained by calculating ER algorithm has a good fitting effect.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 179-180)

Pages:

1384-1389

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.179-180.1384

Citation:

Cite this paper

Online since:

January 2011

Authors:

Yong Li, Li Ping Tan, Bao Ru Xu

Keywords:

ER Algorithm, Gray Modeling, Robust Estimation

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Deng Julong: Grey forecast and Grey . Wuhan: Decision Huazhong University of Science &Technology Press, 2002: pp.45-174.

Google Scholar

[2] Liu Sifeng , Wang Ruilan.: Grey Incidence Analysis of the Third Industry in the Ninth Five-year Plan, Period in Nanjing . Journal of Nanjing University of Science and Technology (social science edition), 2003, 16(5): pp.55-58.

DOI: 10.1109/icsmc.2005.1571367

Google Scholar

[3] Liu Sifeng: Emergence and Development of Grey System Theory and Its Forward Trends . Journal of Zhejiang Wanli University, 2003, 16(4): pp.14-17.

Google Scholar

[4] Liu Sifeng: Emergence and Development of Grey System Theory . Journal of Nanjing University of Aeronautics & Astronautics, 2004, (2): pp.267-272.

Google Scholar

[5] Liu Dajie, Tao Benzao: Practical Data Processing Methods . Beijing: Surveying and Mapping Press, 2000: pp.23-67.

Google Scholar

[6] Li Yong, Feng Zhongke, Luo Xu: Application of Grey Correlation in Building GM(1, 2) , Journal of Anhui Agricultural Sciences, 2007，35(2)：pp.2199-2200.

Google Scholar

[7] Li Yong, Feng Zhongke: Application of the Non-statistical Theory in Building Gray Model, Research of Soil and Water Conservation, 2007，14(6)：pp.74-76.

Google Scholar

[8] Li Yong, Feng Zhongke: Establishment of forest fire spreading model based on the remote sensing image, Journal of Beijing Forestry University, 2007，29 (Supplement 2)：pp.93-97.

Google Scholar