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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Detalles Bibliográficos
Autores principales: Raju, Matiur Rahman, Rahman, Mahfuzur, Hasan, Md Mehedi, Islam, Md Monirul, Alam, Md Shahrior
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687024/
https://www.ncbi.nlm.nih.gov/pubmed/38034748
http://dx.doi.org/10.1016/j.heliyon.2023.e22502

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687024/
https://www.ncbi.nlm.nih.gov/pubmed/38034748
http://dx.doi.org/10.1016/j.heliyon.2023.e22502

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