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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| 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 |