Table 4 Sensitivity analysis of the MLP network with different numbers of hidden Neurons.
Number of Hidden Neurons | Data type | \(\:{\varvec{R}}^{2}\) | MSE | RMSE |
|---|---|---|---|---|
3 | Training Validation All Data | 0.8858 0.9136 0.8914 | 28.5866 24.5253 27.7708 | 5.1537 4.8440 5.0909 |
6 | Training Validation All Data | 0.9811 0.9930 0.9835 | 3.9435 1.8391 3.5208 | 1.8443 1.2987 1.7347 |
10 | Training Validation All Data | 0.9753 0.9909 0.9785 | 2.2282 1.5215 2.0863 | 5.9888 2.4221 5.2724 |
13 | Training Validation All Data | 0.9471 0.9869 0.9551 | 12.2845 3.69886 10.5600 | 3.2615 1.8837 2.9848 |
15 | Training Validation All Data | 0.9667 0.9842 0.9545 | 7.8836 4.4829 7.2006 | 2.5215 2.0350 2.4238 |
17 | Training Validation All Data | 0.9393 0.9630 0.9441 | 15.5370 10.4300 14.5112 | 3.5495 3.1040 3.4600 |
