https://orcid.org/0009-0002-4133-8561
Figures & data
Figure 1. Distribution of the input and output variables of the neural network.
Figure 2. Performance of the BP neural network with different hidden layer nodes.
Figure 3. Prediction results of the prestressed FRP-RC flexural ultimate load neural network model.
Figure 4. Effect of parameter changes on the performance of the neural network models.
Table 1. Model architectures of the considered neural networks.
Figure 5. Predicted values from the L–M neural network.
Figure 6. Predicted values from the BR neural network.
Figure 7. L-MNN prediction percentage error distribution.
Figure 8. BRNN prediction percentage error distribution.
Figure 9. Violin plots of each neural network versus test values.
Figure 10. Taylor diagram for each neural network.
Table 2. Neural network performance comparisons.
Figure 11. Relative importance of the input variables for the BRNN model.
Table 3. Performance change before and after SVD optimization.