期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：8
出版社：S.S. Mishra
摘要：Landslides are among the most hazardous of natural disasters. Government and research institutions worldwide have attempted for years to assess landslide hazard and risk and to show its spatial distribution. To achieve a scientific assessment of an area susceptible to land sliding, a reinforcement learning method in artificial neural network may be applied, and the objective of this study was to apply and verify models of landslide-susceptibility zonation in the several areas of Uttarakhand using this Neural Network approach. Land cover was identified from the topographic database. Terrain map units were interpreted from aerial photographs. These factors were used with an artificial neural network to analyze landslide susceptibility. Each factor weight was determined by a back propagation
