Assessment of highway slope failure using neural networks

被引:0
|
作者
Tsung-lin Lee
Hung-ming Lin
Yuh-pin Lu
机构
[1] Leader University,Department of Construction and Facility Management
[2] Leader University,Department of Resource and Environment
关键词
Neural network; Prediction; Highway; Slope failure; TU4;
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中图分类号
学科分类号
摘要
An artificial intelligence technique of back-propagation neural networks is used to assess the slope failure. On-site slope failure data from the South Cross-Island Highway in southern Taiwan are used to test the performance of the neural network model. The numerical results demonstrate the effectiveness of artificial neural networks in the evaluation of slope failure potential based on five major factors, such as the slope gradient angle, the slope height, the cumulative precipitation, daily rainfall and strength of materials.
引用
收藏
页码:101 / 108
页数:7
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