Assessment of highway slope failure using neural networks

Tsung Lin Lee, Hung Ming Lin, Yuh Pin Lu

研究成果: Article同行評審

14 引文 斯高帕斯(Scopus)

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.

原文English
頁(從 - 到)101-108
頁數8
期刊Journal of Zhejiang University: Science A
10
發行號1
DOIs
出版狀態Published - 2009 一月 1

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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