Risk assessment of water inrush caused by karst cave in tunnels based on reliability and GA-BP neural network
In order to evaluate the risk level of water inrush caused by karst cave accurately and effectively, a novel quantitative assessment model was established based on the reliability theory and genetic algorithm-back propagation (GA-BP) neural network. First, the reliability theory and the calculation...
Main Authors: | Zhaoyang Li, Yingchao Wang, C. Guney Olgun, Shengqi Yang, Qinglei Jiao, Mitian Wang |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2020-01-01
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Series: | Geomatics, Natural Hazards & Risk |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/19475705.2020.1785956 |
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