Assessment of highway slope failure using neural networks |
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| Authors: | Tsung-lin Lee Hung-ming Lin Yuh-pin Lu |
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| Institution: | (1) Department of Construction and Facility Management, Leader University, Tainan, 709, China;(2) Department of Resource and Environment, Leader University, Tainan, 709, China |
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| Abstract: | 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. |
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| Keywords: | Neural network Prediction Highway Slope failure |
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