Artificial bee colony optimized random forest model for prediction of fly ash concrete compressive strength

Artificial bee colony optimized random forest model for prediction of fly ash concrete compressive strength

Concrete compressive strength (CS) is a vital parameter in structural engineering, yet traditional evaluation methods are time-consuming, destructive, and resource intensive. This study presents a data-driven, computational approach for predicting the CS of fly ash concrete (FAC) using a hybrid Arti...

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Bibliographic Details
Main Authors: Manish Bali, Ved Prakash Mishra, Anuradha Yenkikar
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:MethodsX
Subjects:
Hybrid Random Forest regression model with Artificial Bee Colony (ABC) optimized hyperparameters for compressive strength prediction in fly ash concrete.
Online Access:http://www.sciencedirect.com/science/article/pii/S2215016125002584
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