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Method and apparatus for landslide susceptibility mapping using machine-learning architecture

机译:利用机器学习架构进行滑坡敏感性测绘的方法和装置

摘要

According to the present invention, a method of mapping the landslide vulnerability comprises the steps of: receiving a result of a preliminary investigation of a target area where a landslide vulnerability map should be prepared; selecting environmental factors required to calculate the landslide vulnerability; and establishing a landslide vulnerability model using a machine learning algorithm in consideration of data of the preliminary investigation and the environmental factors and creating the landslide vulnerability map of the target area based on the landslide vulnerability model. According to the present invention, by applying various machine learning techniques in creating a landslide vulnerability map, it is possible to improve the accuracy and prediction performance.
机译:根据本发明,一种绘制滑坡脆弱性的方法包括以下步骤:接收对应当准备滑坡脆弱性图的目标区域的初步调查的结果;以及选择计算滑坡脆弱性所需的环境因素;结合初步调查数据和环境因素,利用机器学习算法建立滑坡脆弱性模型,并基于滑坡脆弱性模型创建目标区域的滑坡脆弱性图。根据本发明,通过在创建滑坡脆弱性地图中应用各种机器学习技术,可以提高准确性和预测性能。

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