Soft computing techniques for predicting the properties of raw rice husk concrete bricks using regression-based machine learning approaches

In this study, the replacement of raw rice husk, fly ash, and hydrated lime for fine aggregate and cement was evaluated in making raw rice husk-concrete brick. This study optimizes compressive strength, water absorption, and dry density of concrete brick containing recycled aggregates via Response S...

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Detalles Bibliográficos
Autores principales: Ganasen, Nakkeeran, Krishnaraj, L., Onyelowe, Kennedy C., Alaneme, George Uwadiegwu, Otu, Obeten Nicholas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10477214/
https://www.ncbi.nlm.nih.gov/pubmed/37666892
http://dx.doi.org/10.1038/s41598-023-41848-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10477214/
https://www.ncbi.nlm.nih.gov/pubmed/37666892
http://dx.doi.org/10.1038/s41598-023-41848-1

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