BAT Algorithm-Based ANN to Predict the Compressive Strength of Concrete—A Comparative Study

BAT Algorithm-Based ANN to Predict the Compressive Strength of Concrete—A Comparative Study

The number of effective factors and their nonlinear behaviour—mainly the nonlinear effect of the factors on concrete properties—has led researchers to employ complex models such as artificial neural networks (ANNs). The compressive strength is certainly a prominent characteristic for design and anal...

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Bibliographic Details
Main Authors: Nasrin Aalimahmoody, Chiara Bedon, Nasim Hasanzadeh-Inanlou, Amir Hasanzade-Inallu, Mehdi Nikoo
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Infrastructures
Subjects:
compressive strength of concrete
artificial neural network (ANN)
BAT algorithm (BAT)
genetic algorithm (GA)
Teaching-Learning-Based-Optimization (TLBO)
multi linear regression (MLR) model
Online Access:https://www.mdpi.com/2412-3811/6/6/80

Internet

https://www.mdpi.com/2412-3811/6/6/80

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