Predicting liquefaction-induced lateral spreading by using the multigene genetic programming (MGGP), multilayer perceptron (MLP), and random forest (RF) techniques-Reference-Cited by-同舟云学术

Predicting liquefaction-induced lateral spreading by using the multigene genetic programming (MGGP), multilayer perceptron (MLP), and random forest (RF) techniques

Published:2023-02-21 Issue:3 Volume:82 Page:
ISSN:1435-9529
Container-title:Bulletin of Engineering Geology and the Environment
language:en
Short-container-title:Bull Eng Geol Environ

Author:

Kaya Zulkuf^ORCID,Latifoglu Levent^ORCID,Uncuoglu Erdal^ORCID,Erol Aykut^ORCID,Keskin Mehmet Salih^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Geology,Geotechnical Engineering and Engineering Geology

Link

https://link.springer.com/content/pdf/10.1007/s10064-023-03103-9.pdf

Reference70 articles.

1. Acharyya R, Dey A (2018) Assessment of bearing capacity of interfering strip footings located near sloping surface considering artificial neural network technique. J Mt Sci 15:2766–2780

2. Alanis AY, Arana-Daniel N, Lopez-Franco C (2019) Artificial neural networks for engineering applications. Academic Press

3. Alipour A, Jafari A, Hossaini SMF (2012) Application of ANNs and MVLRA for estimation of specific charge in small tunnel. Int J Geomech 12:189–192

4. Ambraseys NN, Menue JM (1988) Earthquake-induced ground displacement. Earthq Eng Struct Dyn 16:985–1006

5. Archer K, Kimes RV (2008) Computational statistics & data analysis. Comput Stat Data Anal 52:2249–2260

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