Machine Learning Approaches for Prediction of the Compressive Strength of Alkali Activated Termite Mound Soil

Earth-based materials have shown promise in the development of ecofriendly and sustainable construction materials. However, their unconventional usage in the construction field makes the estimation of their properties difficult and inaccurate. Often, the determination of their properties is conducte...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Assia Aboubakar Mahamat, Moussa Mahamat Boukar, Nurudeen Mahmud Ibrahim, Tido Tiwa Stanislas, Numfor Linda Bih, Ifeyinwa Ijeoma Obianyo, Holmer Savastano
Format:	Article
Language:	English
Published:	MDPI AG 2021-05-01
Subjects:	machine learning artificial neural network support vector machine linear regression alkali-activated termite soil compressive strength
Online Access:	https://www.mdpi.com/2076-3417/11/11/4754