A soft computing technique for predicting flexural strength of concrete containing nano-silica and calcium carbide residue

A soft computing technique for predicting flexural strength of concrete containing nano-silica and calcium carbide residue

The paper aims to explore the application of intelligent soft-computing techniques, including Gaussian Process Regression (GPR), Support Vector Regression (SVR), Ensemble Tree (LSBOOT, LES), and Multiple Linear Regression (MLR) for the prediction of flexural strength (σf) of PC containing calcium ca...

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Bibliographic Details
Main Authors: Musa Adamu, I.K. Umar, S.I. Haruna, Yasser E. Ibrahim, Hani Alanazi, O.A.U. Uche
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Case Studies in Construction Materials
Subjects:
Concrete
Flexural strength
Soft computing techniques
Nano-silica
And calcium carbide residue
Online Access:http://www.sciencedirect.com/science/article/pii/S221450952200420X

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