Predicting the settlement of pile based on a hybrid form of the model by considering Least Square Support Vector Regression
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Mechanics of Materials,General Materials Science
Link
https://link.springer.com/content/pdf/10.1007/s41939-023-00222-4.pdf
Reference44 articles.
1. Afzal S, Ziapour BM, Shokri A, Shakibi H, Sobhani B (2023) Building energy consumption prediction using multilayer perceptron neural network-assisted models; comparison of different optimization algorithms. Energy. https://doi.org/10.1016/j.energy.2023.128446
2. Alenezi A, Moses SA, Trafalis TB (2008) Real-time prediction of order flowtimes using support vector regression. Comput Oper Res 35(11):3489–3503
3. Binu D, Kariyappa BS (2018) RideNN: a new rider optimization algorithm-based neural network for fault diagnosis in analog circuits. IEEE Trans Instrum Meas 68(1):2–26
4. Cao S-G, Liu Y-B, Wang Y-P (2008) A forecasting and forewarning model for methane hazard in working face of coal mine based on LS-SVM. J China Univ Min Technol 18(2):172–176
5. Carrubba P (1997) Skin friction on large-diameter piles socketed into rock. Can Geotech J 34(2):230–240
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