Assessment of highway slope failure using neural networks

Tsung Lin Lee, Hung Ming Lin, Yuh Pin Lu

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)101-108
Number of pages8
JournalJournal of Zhejiang University: Science A
Issue number1
Publication statusPublished - 2009 Jan

All Science Journal Classification (ASJC) codes

  • General Engineering


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