Predicting the maximum load capacity of circular RC columns confined with Fibre-Reinforced Polymer (frp) using machine learning model
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This article conducts an exhaustive investigation into the utilization of machine learning (ML) methods for forecasting the maximum load capacity (MLC) of circular reinforced concrete columns (CRCC) using Fiber-Reinforced Polymer (FRP). Extreme Gradient Boosting (XGB) algorithm is combined with novel metaheuristic algorithms, namely Sailfish Optimizer and Aquila Optimizer, to fine-tune its hyperparameters.
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Predicting the maximum load capacity of circular RC columns confined with Fibre-Reinforced Polymer (frp) using machine learning model
Nội dung trích xuất từ tài liệu:
Predicting the maximum load capacity of circular RC columns confined with Fibre-Reinforced Polymer (frp) using machine learning model
Tìm kiếm theo từ khóa liên quan:
Science and transport technology FRP-confined RC circular columns Maximum load capacity Machine Learning XGB modelGợi ý tài liệu liên quan:
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