Estimation of Seepage Flow Using Optimized Artificial Intelligent Models-Reference-Cited by-同舟云学术

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Estimation of Seepage Flow Using Optimized Artificial Intelligent Models

Published:2023-03-25 Issue:4 Volume:41 Page:2727-2739
ISSN:0960-3182
Container-title:Geotechnical and Geological Engineering
language:en
Short-container-title:Geotech Geol Eng

Author:

Rehamnia Issam,Benlaoukli Bachir,Chouireb Mustafa,Prakash Indra,Amiri Mahdis,Pham Binh Thai

Publisher

Springer Science and Business Media LLC

Subject

Geology,Soil Science,Geotechnical Engineering and Engineering Geology,Architecture

Link

https://link.springer.com/content/pdf/10.1007/s10706-023-02423-7.pdf

Reference68 articles.

1. Adnan RM, Malik A, Kumar A, Parmar KS, Kisi O (2019) Pan evaporation modeling by three different neuro-fuzzy intelligent systems using climatic inputs. Arab J Geosci 12(19):606. https://doi.org/10.1007/s12517-019-4781-6

2. Ali M, Deo RC, Maraseni T, Downs NJ (2019) Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridized with simulated annealing and kernel ridge regression algorithms. J Hydrol 576:164–184. https://doi.org/10.1016/j.jhydrol.2019.06.032

3. Al-Janabi AMS, Ghazali AH, Ghazaw YM, Afan HA, Al-Ansari N, Yaseen ZM (2020) Experimental and numerical analysis for earth-fill dam seepage. Sustainability 12(6):2490

4. Athani SS, Shivamanth SCH, Dodagoudar GR (2015) Seepage and stability analyses of earth dam using finite element method. Aquatic Procedia 4:876–883. https://doi.org/10.1016/j.aqpro.2015.02.110

5. Bekele B, Song C, Eun J, Kim S (2022) Exploratory seepage detection in a laboratory-scale earthen dam based on distributed temperature sensing method. Geotechnical and Geological Engineering:1–16

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3. Novel hybrid computational intelligence approaches for predicting daily solar radiation;Acta Geophysica;2023-08-04

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