Journal of System Simulation
Abstract
Abstract: Soil is one of the most important factors influencing the off-road maneuver of the army. The combination of soil and weather factors makes cross-country trafficability analysis extremely complicated. The soil data from unified soil classification system (USCS) are the basis for the analysis of soil trafficability. In this paper, the random forest method is used to predict the type of soil by using various attribute information. The method extracts sample data from existing USCS soil data to construct multiple random forest models, then analyses the accuracy of random forests and the importance of characteristic variables, and finally uses the third random forest model to process soil database according to the characteristics of the data. Compared with the previous methods, this method is more accurate and can meet the requirements of cross-country trafficability analysis.
Recommended Citation
Li, Kunwei; Xiong, You; Xin, Zhang; and Tang, Fen
(2019)
"Soil Data Construction Method for Cross-country Trafficability Analysis,"
Journal of System Simulation: Vol. 31:
Iss.
1, Article 21.
DOI: 10.16182/j.issn1004731x.joss.17-0069
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol31/iss1/21
First Page
158
Revised Date
2017-05-19
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.17-0069
Last Page
165
CLC
S153
Recommended Citation
Li Kunwei, You Xiong, Zhang Xin, Tang Fen. Soil Data Construction Method for Cross-country Trafficability Analysis[J]. Journal of System Simulation, 2019, 31(1): 158-165.
DOI
10.16182/j.issn1004731x.joss.17-0069
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