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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