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2009 WRI World Congress on Computer Science and Information Engineering
Study on the High-Dimension Non-linear Index Model GWS(n,m) for Soil Erosion Simulation and Its Parameters Identification Method
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
| ASCII Text | x | ||
| Wei Yong-xia, Li Na, Chen Lijun, "Study on the High-Dimension Non-linear Index Model GWS(n,m) for Soil Erosion Simulation and Its Parameters Identification Method," Computer Science and Information Engineering, World Congress on, vol. 7, pp. 417-421, 2009 WRI World Congress on Computer Science and Information Engineering, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/CSIE.2009.151, author = {Wei Yong-xia and Li Na and Chen Lijun}, title = {Study on the High-Dimension Non-linear Index Model GWS(n,m) for Soil Erosion Simulation and Its Parameters Identification Method}, journal ={Computer Science and Information Engineering, World Congress on}, volume = {7}, year = {2009}, isbn = {978-0-7695-3507-4}, pages = {417-421}, doi = {http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.151}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Computer Science and Information Engineering, World Congress on TI - Study on the High-Dimension Non-linear Index Model GWS(n,m) for Soil Erosion Simulation and Its Parameters Identification Method SN - 978-0-7695-3507-4 SP417 EP421 A1 - Wei Yong-xia, A1 - Li Na, A1 - Chen Lijun, PY - 2009 KW - soil erosion KW - GWS(n KW - m)model KW - parameter identification KW - artificial rainfall KW - simulation precision VL - 7 JA - Computer Science and Information Engineering, World Congress on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.151
Aiming at the problems of great demand of samples, applicability and simulation precision of the routine empirical statistical soil erosion models, based on the reasonable extension of the high-order grey dispersed array dynamic model GWS(n,1) a multivariable high-dimension non-linear index model GWS(n,m)was established. Through the optimization by MATLAB, the searching and identification of the parameters in the non-linear model was come true, and the actual problems of limited sample, non-linear and high-dimension etc. were solved by the model. In the case of artificial rainfall. The simulation results of soil erosion in sloping farmland indicated that the valid coefficient of the model Ef >0.91, the average error rate delta <6.2%, the stimulation precision was high.
Index Terms:
soil erosion, GWS(n, m)model, parameter identification, artificial rainfall, simulation precision
Citation:
Wei Yong-xia, Li Na, Chen Lijun, "Study on the High-Dimension Non-linear Index Model GWS(n,m) for Soil Erosion Simulation and Its Parameters Identification Method," csie, vol. 7, pp.417-421, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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