Advancing in creep index of soil prediction: A groundbreaking machine learning approach with Multivariate Adaptive Regression Splines

The significance of accurately predicting the creep index coefficient for assessing the long-term settlement of soil is critical in geotechnical engineering. However, current empirical methods for determining the creep coefficient often lack precision, highlighting the need for a more accurate predi...

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Bibliographic Details
Main Authors: Mohammed E. Seno, Husein Ali Zeini, Hamza Imran, Mohammed Noori, Sadiq N. Henedy, Nouby M. Ghazaly
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Results in Materials
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2590048X24001158