Paper Title:
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.

  Info
Periodical
Advanced Materials Research (Volumes 179-180)
Edited by
Garry Zhu
Pages
1384-1389
DOI
10.4028/www.scientific.net/AMR.179-180.1384
Citation
Y. Li, L. P. Tan, B. R. Xu, "Applied Research on ER Algorithm of Gray Modeling", Advanced Materials Research, Vols. 179-180, pp. 1384-1389, 2011
Online since
January 2011
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Price
$32.00
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