摘要
本文以九龙县为研究区,根据沟壑密度、坡度、植被盖度、土地利用类型和高程5个因子,结合ARC-GIS空间分析功能和MATLAB数学建模编程的功能,应用GA-BP模型(遗传算法优化BP神经网络)对研究区的水土流失进行非线性智能定量评价,并与层次分析法的结果对比分析,阐述了GA-BP模型的优越性。本次研究可以为九龙县水土流失预防和治理提供有益的参考。
This paper took Jiulong Country as study area, based on factors of gully density, slope, vegetation cover, land use type and DEM and combined with the spatial analysis function of ARCGIS and programming modeling capahilities of MATLAB, finished intelligent quantitative evaluation of soil erosion in this area by the model of GA-BP（ genetic algorithm B Pneural networks）, and contracted the outcome with AHP, formulated the superiority of GA-BP. This research may provide the beneficial reference of prevention and government for soil erosion in Jiulong and.
出处
《测绘科学》
CSCD
北大核心
2012年第6期62-65,共4页
Science of Surveying and Mapping
基金
国家自然科学基金(40972225)
成都理工大学青年科学基金项目(2010QJ08)
成都理工大学高层次人才科研启动基金(HJ0070)
