Soft-Computing Techniques for Predicting Seismic Bearing Capacity of Strip Footings in Slopes

Soft-Computing Techniques for Predicting Seismic Bearing Capacity of Strip Footings in Slopes

In this study, various machine learning algorithms, including the minimax probability machine regression (MPMR), functional network (FN), convolutional neural network (CNN), recurrent neural network (RNN), and group method of data handling (GMDH) models, are proposed for the estimation of the seismi...

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Bibliographic Details
Main Authors: Divesh Ranjan Kumar, Pijush Samui, Warit Wipulanusat, Suraparb Keawsawasvong, Kongtawan Sangjinda, Wittaya Jitchaijaroen
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Buildings
Subjects:
bearing capacity
slopes
strip footing
soft computing
MPMR
GMDH
Online Access:https://www.mdpi.com/2075-5309/13/6/1371

Internet

https://www.mdpi.com/2075-5309/13/6/1371

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