Assessing single and hybrid AI approaches in conjunction with FEM to enhance seepage prediction in earth dams
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computers in Earth Sciences,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s40808-023-01903-2.pdf
Reference36 articles.
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3. Baghali̇an, F. Nazari̇ (2011) Prediction of Uplift Pressure under the Diversion Dam Using Artificial Neural Network and Genetic Algorithm. Int J Eng Appl Sci 3:23–32
4. Bonelli S (2001) Ouvrages hydrauliques en remblai : un regard transversal sur l’action de l’eau. Ingénieries eau-agriculture-territoires 49–58
5. Chandwani V, Agrawal V, Nagar R (2015) Modeling slump of ready mix concrete using genetic algorithms assisted training of Artificial Neural Networks. Expert Syst Appl 42:885–893. https://doi.org/10.1016/j.eswa.2014.08.048
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