Enhancing Ultimate Bearing Capacity Prediction of Cohesionless Soils Beneath Shallow Foundations with Grey Box and Hybrid AI Models

Enhancing Ultimate Bearing Capacity Prediction of Cohesionless Soils Beneath Shallow Foundations with Grey Box and Hybrid AI Models

This study examines the potential of the soft computing technique, namely, multiple linear regression (MLR), genetic programming (GP), classification and regression trees (CART) and GA-ENN (genetic algorithm-emotional neuron network), to predict the ultimate bearing capacity (UBC) of cohesionless so...

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Bibliographic Details
Main Authors: Katayoon Kiany, Abolfazl Baghbani, Hossam Abuel-Naga, Hasan Baghbani, Mahyar Arabani, Mohammad Mahdi Shalchian
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Algorithms
Subjects:
ultimate bearing capacity
cohesionless soils
genetic programming
genetic algorithm-emotional neural network
classification and regression random forest
artificial intelligence
Online Access:https://www.mdpi.com/1999-4893/16/10/456

Internet

https://www.mdpi.com/1999-4893/16/10/456

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