Estimation of concrete materials uniaxial compressive strength using soft computing techniques

Estimation of concrete materials uniaxial compressive strength using soft computing techniques

This study addresses a critical gap in concrete strength prediction by conducting a comparative analysis of three deep learning algorithms: convolutional neural networks (CNNs), gated recurrent units (GRUs), and long short-term memory (LSTM) networks. Unlike previous studies that employed various ma...

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Bibliographic Details
Main Authors: Matiur Rahman Raju, Mahfuzur Rahman, Md Mehedi Hasan, Md Monirul Islam, Md Shahrior Alam
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Heliyon
Subjects:
Concrete compressive strength
Deep learning
Comparative analysis
Model optimization
Mix design
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023097104

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