A Comparative Study for the Prediction of the Compressive Strength of Self-Compacting Concrete Modified with Fly Ash

A Comparative Study for the Prediction of the Compressive Strength of Self-Compacting Concrete Modified with Fly Ash

Artificial intelligence and machine learning are employed in creating functions for the prediction of self-compacting concrete (SCC) strength based on input variables proportion as cement replacement. SCC incorporating waste material has been used in learning approaches. Artificial neural network (A...

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Bibliographic Details
Main Authors: Furqan Farooq, Slawomir Czarnecki, Pawel Niewiadomski, Fahid Aslam, Hisham Alabduljabbar, Krzysztof Adam Ostrowski, Klaudia Śliwa-Wieczorek, Tomasz Nowobilski, Seweryn Malazdrewicz
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Materials
Subjects:
self-compacting concrete
fly ash
machine learning
artificial neural network
gene engineering programming
Online Access:https://www.mdpi.com/1996-1944/14/17/4934

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https://www.mdpi.com/1996-1944/14/17/4934

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