LI Xin-po,MO Duo-wen.Application of GIS and ANN Technology to Evaluate the Hazard Degree of Debris——Taking Yunnan Province as an Example[J].Research of Soil and Water Conservation,2005,12(04):7-9.
应用GIS和神经网络方法进行泥石流危险度评价的研究——以云南省为例
- Title:
- Application of GIS and ANN Technology to Evaluate the Hazard Degree of Debris——Taking Yunnan Province as an Example
- Keywords:
- GIS; ANN; hazard degree of debris; Yunnan Province
- 分类号:
- P642.23
- 摘要:
- 应用了GIS和神经网络方法，根据云南省31年的降水数据和DEM数据，以该省典型的区域为样本训练神经网络，以县、市行政区域为评价单元，对云南省泥石流的危险度进行了评价。结果表明，所采用的网络能够很好地收敛，用训练好的网络对全省125个县市的样本进行测试，结果表明网络能较好的对样本做出评价，而且评价结果与其他方法进行评价的结果较一致，达到了设计网络所预期的目的。
- Abstract:
- The GIS and ANN technology was used to evaluate the hazard degree of debris in Yunnan Province based on the precipitation data of the past 31 years, using a trained artificial neural network from typical samples, taking each county or city as evaluation unit.The trained artificial neural network can converged quickly.When the trained artificial neural network is used to test the 125 samples, it can evaluate them perfectly, and the result agrees with the result from other evaluation methods, so the method is useful.
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备注/Memo
收稿日期:2005-4-26
基金项目:国家重点基础研究发展规划项目（2003GB415201）；国家自然科学基金项目（40271013）；教育部博士点基金项目（99000149）资助
作者简介:李新坡（1974- ），男，河南洛阳人，博士研究生，研究方向为地貌学与环境演变。