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Prediction of concrete compressive strength using a Deepforest-based model

Abstract Concrete compressive strength testing is crucial for construction quality control. The traditional methods are both time-consuming and labor-intensive, while machine learning has been proven effective in predicting the compressive strength of concrete. However, current machine learning-base...

Ausführliche Beschreibung

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Bibliografische Detailangaben
Hauptverfasser: Wan Zhang, Jiangtao Guo, Cuiping Ning, Ruifang Cheng, Ze Liu
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Portfolio 2024-08-01
Schriftenreihe:Scientific Reports
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Online-Zugang:https://doi.org/10.1038/s41598-024-69616-9
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