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Application of Information-ANN Model for Landslide Hazard Assessment in Slope Field

机译：坡面山坡危险评估信息 - 安模型的应用

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摘要

Landslide is one of the most serious geological hazards. Landslide assessment, especially in slope field, is very important and significant for appropriate human geological environment protection and rational exploitation. By means of the theory of Information and Artificial Neural Network, the basic flow chart of Information-ANN Model for landslide hazard spatial assessment is put forward. Some key technical problems are discussed, such as single factor information calculating, neural study sample choice, and network model building and so on. Applying Information-ANN Model and GIS technology, the landslide hazard susceptibility assessment of Anlesi paleo-landslide in Wanzou city of three-gorge reservoir is carried out. The landslide hazard prediction map is achieved. By comparing with the site investigation and some other models, Information-ANN Model is proved to be an effective mathematics model for landslide spatial assessment. At last, the existing question is put forward in this paper.
机译：Landslide是最严重的地质灾害之一。 Landslide评估，特别是在坡面领域，对于适当的人地质环境保护和理性剥削来说是非常重要的，很重要。借助于信息和人工神经网络理论，提出了对滑坡危险空间评估的信息ANN模型的基本流程图。讨论了一些关键的技术问题，例如单因素信息计算，神经研究样本选择和网络模型建设等。采用信息 - ANN模型和GIS技术，进行了三峡库区万家市Anlesi Paleo-Landslide的滑坡危害敏感性评估。实现了滑坡危害预测图。通过与现场调查和一些其他模型进行比较，证明了信息ANN模型是滑坡空间评估的有效数学模型。最后，本文提出了现有的问题。

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