Performance Evaluation of Soft Computing for Modeling the Strength Properties of Waste Substitute Green Concrete

Performance Evaluation of Soft Computing for Modeling the Strength Properties of Waste Substitute Green Concrete

The waste disposal crisis and development of various types of concrete simulated by the construction industry has encouraged further research to safely utilize the wastes and develop accurate predictive models for estimation of concrete properties. In the present study, sugarcane bagasse ash (SCBA),...

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Bibliographic Details
Main Authors: Muhammad Izhar Shah, Muhammad Nasir Amin, Kaffayatullah Khan, Muhammad Sohaib Khan Niazi, Fahid Aslam, Rayed Alyousef, Muhammad Faisal Javed, Amir Mosavi
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sustainability
Subjects:
multi expression programming
agricultural by-products
k-fold cross-validation
sustainable materials
artificial intelligence
materials design
Online Access:https://www.mdpi.com/2071-1050/13/5/2867

Internet

https://www.mdpi.com/2071-1050/13/5/2867

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