Gross Error Positioning and Processing Method Based on Forest Grey Modeling

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The paper is committed to overcome the influence of gross error on the small quantity data of forest fire grey modeling. According to the quantity of the modeling data, Grey judgment of gross error and robust estimation theory is used separately for finding the gross error exit whether or not from the modeling data. And robust estimation theory and LIR algorithm can be used to process the gross error. From the examples, A quarter of fitting precision of robust estimation is less than 1%, and 75% is 1~5%; and half of fitting precision of LIR algorithm is less than 1%, and half is 1~5%. That is to say LIR algorithm provides a rapid, simple and practical way to build model of data which contains gross error or which contain missing data.

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Periodical:

Edited by:

Linli Xu, Wenya Tian and Elwin Mao

Pages:

1262-1267

DOI:

10.4028/www.scientific.net/AMM.80-81.1262

Citation:

Y. Li et al., "Gross Error Positioning and Processing Method Based on Forest Grey Modeling", Applied Mechanics and Materials, Vols. 80-81, pp. 1262-1267, 2011

Online since:

July 2011

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$35.00

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

[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

[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.

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

[5] Li Yong, Tan Liping, Xu Baoru: Applied Research on ER algorithm of gray modeling. Advanced Materials Research, 2011, 178-179: pp.1384-1389.

DOI: 10.4028/www.scientific.net/amr.179-180.1384

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

[7] 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.

[8] 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.

[9] 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.

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