Conference
Open access
Jul 2026
Research on a prediction model for compressive strength of CFRP-confined concrete based on Bayesian optimized CNN-LSTM network
The results show that the optimized model significantly outperforms traditional methods in prediction accuracy, achieving a coefficient of determination (R2) of 0.957 and a root mean square error (RMSE) of 7.42 MPa on the test set.
Yili Wang
· Journal of Physics, Conferen... · 0 citations