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Machine Learning-Based Modeling with Optimization Algorithm for Predicting Mechanical Properties of Sustainable Concrete

Published in Greater South Information System • Mar 4, 2021
NobleIDNI8P14W89R08S03
Authors:
Muhammad Izhar Shah
,
Shazim Ali Memon
,
Muhammad Bilal Khan

Abstract

In this research, multiexpression programming (MEP) has been employed to model the compressive strength, splitting tensile strength, and flexural strength of waste sugarcane bagasse ash (SCBA) concrete. Particle swarm optimization (PSO) algorithm was used to fine-tune the hyperparameter of the propo...

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