Application of Machine Learning Techniques in Predicting the Bearing Capacity of E-shaped Footing on Layered Sand
The paper presents the prediction of bearing capacity equation of E-shaped footing subjected to a vertical concentric load and resting on layered sand using machine learning techniques and the data used in the analysis has been extracted from finite element modelling of the same footing. The input v...
Saved in:
Main Authors: | Safeena Nazeer, Rakesh Dutta |
---|---|
Format: | article |
Language: | EN |
Published: |
Pouyan Press
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/38aec2a805e443dd963d53e8c8527ad3 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Toward rainfall prediction by machine learning in Perfume River Basin, Thua Thien Hue Province, Vietnam
by: Giang Nguyen Hong, et al.
Published: (2021) -
Comparison of Regression and Neural Networks Models to Estimate Solar Radiation
by: Bocco,Mónica, et al.
Published: (2010) -
Bearing Capacity Behavior of Skirted Foundations on Unsaturated Soils
by: Mohammed Muthana S., et al.
Published: (2021) -
Understanding the dynamics of landscape of greater Sundarban area using multi-layer perceptron Markov chain and landscape statistics approach
by: Purnendu Sardar, et al.
Published: (2021) -
Cranial Capacity in an Adult Sri Lankan Population: Sexual Dimorphism and Ethnic Diversity
by: Ilayperuma,I
Published: (2011)