Page 1 | Search Results | Machine Learning and Data Science in Geotechnics

1-1 of 1

Sort by

Journal Articles

Lessons learned from training an MLP model using layered feature sets for estimating pile bearing capacity

Machine Learning and Data Science in Geotechnics (2026) 2 (1): 122–134.

https://doi.org/10.1108/MLAG-12-2025-0022

Published: 11 May 2026

... BY 4.0 licence. Axial pile capacity Machine learning Neural networks Soil layers Feature representation Data size Geotechnical engineering Optimization Foundation engineering Estimating axial pile capacity remains a persistent challenge in practice. Many large structures depend...

View article titled, Lessons learned from training an MLP model using layered feature sets for estimating pile bearing capacity

Add to Citation Manager for Lessons learned from training an MLP model using layered feature sets for estimating pile bearing capacity

Update search

NARROW

Format

Journal

Type

Date

Availability

Lessons learned from training an MLP model using layered feature sets for estimating pile bearing capacity

Email alerts

Update search

Lessons learned from training an MLP model using layered feature sets for estimating pile bearing capacity

Email alerts

Sharing Unavailable