In this study, an artificial neural networkbased Bayesian regularization (ANN) model is proposed to predict the compressive strength of concrete. The database in this study includes 208 experimental results synthesized from laboratory experiments with 9 input variables related to temperature change and design material composition.
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Prediction of compressive strength of concrete at high heating conditions by using artificial neural network-based Bayesian regularization
Prediction of compressive strength of concrete at high heating conditions by using artificial neural network-based Bayesian regularization
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Tìm kiếm theo từ khóa liên quan:
Science and transport technology Machine learning Compressive strength Bayesian regularization K-fold cross-validation Design material compositionTài liệu có liên quan:
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