An extreme learning machine approach for slope stability evaluation and prediction
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DOI: 10.1007/s11069-014-1106-7
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- P. Lu & M. Rosenbaum, 2003. "Artificial Neural Networks and Grey Systems for the Prediction of Slope Stability," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 30(3), pages 383-398, November.
- D. Ramakrishnan & T. Singh & A. Verma & Akshay Gulati & K. Tiwari, 2013. "Soft computing and GIS for landslide susceptibility assessment in Tawaghat area, Kumaon Himalaya, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(1), pages 315-330, January.
- T. Singh & A. Gulati & L. Dontha & V. Bhardwaj, 2008. "Evaluating cut slope failure by numerical analysis—a case study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 47(2), pages 263-279, November.
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- Sina Shaffiee Haghshenas & Sami Shaffiee Haghshenas & Zong Woo Geem & Tae-Hyung Kim & Reza Mikaeil & Luigi Pugliese & Antonello Troncone, 2021. "Application of Harmony Search Algorithm to Slope Stability Analysis," Land, MDPI, vol. 10(11), pages 1-12, November.
- Shakti Suman & S. Z. Khan & S. K. Das & S. K. Chand, 2016. "Slope stability analysis using artificial intelligence techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(2), pages 727-748, November.
- Arsalan Mahmoodzadeh & Mokhtar Mohammadi & Hunar Farid Hama Ali & Hawkar Hashim Ibrahim & Sazan Nariman Abdulhamid & Hamid Reza Nejati, 2022. "Prediction of safety factors for slope stability: comparison of machine learning techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(2), pages 1771-1799, March.
- Qi Da & Ying Chen & Bing Dai & Danli Li & Longqiang Fan, 2024. "Prediction of Slope Safety Factor Based on Attention Mechanism-Enhanced CNN-GRU," Sustainability, MDPI, vol. 16(15), pages 1-23, July.
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- He Jia & Sherong Zhang & Chao Wang & Xiaohua Wang & Zhonggang Ma & Yaosheng Tan, 2023. "MSC-1DCNN-based homogeneous slope stability state prediction method integrated with empirical data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 118(1), pages 729-753, August.
- Ahmed Hassan Saad & Haslinda Nahazanan & Badronnisa Yusuf & Siti Fauziah Toha & Ahmed Alnuaim & Ahmed El-Mouchi & Mohamed Elseknidy & Angham Ali Mohammed, 2023. "A Systematic Review of Machine Learning Techniques and Applications in Soil Improvement Using Green Materials," Sustainability, MDPI, vol. 15(12), pages 1-37, June.
- Jian Zhou & Xibing Li & Hani Mitri, 2015. "Comparative performance of six supervised learning methods for the development of models of hard rock pillar stability prediction," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(1), pages 291-316, October.
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Keywords
Geotechnical engineering; Slope stability analysis; Stability prediction; Circular slip failure; Artificial intelligence; Extreme learning machine;All these keywords.
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