Predicting the mechanical properties of plastic concrete: An optimization method by using genetic programming and ensemble learners

Predicting the mechanical properties of plastic concrete: An optimization method by using genetic programming and ensemble learners

This study presents a comparative analysis of individual and ensemble learning algorithms (ELAs) to predict the compressive strength (CS) and flexural strength (FS) of plastic concrete. Multilayer perceptron neuron network (MLPNN), Support vector machine (SVM), random forest (RF), and decision tree...

Full description

Bibliographic Details
Main Authors: Usama Asif, Muhammad Faisal Javed, Maher Abuhussain, Mujahid Ali, Waseem Akhtar Khan, Abdullah Mohamed
Format: Article
Language:English
Published: Elsevier 2024-07-01
Series:Case Studies in Construction Materials
Subjects:
Plastic concrete
Machine learning
Compressive strength
Flexural strength
Sustainability
Ensemble learning algorithms
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509524002869

Internet

http://www.sciencedirect.com/science/article/pii/S2214509524002869

Similar Items