Liquefaction resistance evaluation of soils using artificial neural network for Dhaka City, Bangladesh
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology
Link
https://link.springer.com/content/pdf/10.1007/s11069-022-05331-w.pdf
Reference81 articles.
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3. Alam M (1989) Geology and depositional history of cenozoic sediments of the Bengal Basin of Bangladesh. Palaeogeogr Palaeoclimatol Palaeoecol 69:125–139. https://doi.org/10.1016/0031-0182(89)90159-4
4. Ali HE, Najjar YM (1998) Neuronet-based approach for assessing liquefaction potential of soils. Transport Res Rec 1633(1):3–8
5. Ambraseys NN, Douglas J (2004) Magnitude calibration of north Indian earthquakes. Geophys J Int 159:165–206. https://doi.org/10.1111/j.1365-246X.2004.02323.x
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Why “AI” models for predicting soil liquefaction have been ignored, plus some that shouldn’t be;Earthquake Spectra;2023-05-24
2. Enhanced Soil Liquefaction Potential Estimation using Machine Learning and Web-Based Platform;2023-03-22
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