Research Article
Inverse Parametric Analysis of Seismic Permanent Deformation for Earth-Rockfill Dams Using Artificial Neural Networks
Table 3
Comparison of predicted results and actual values of the test samples’ parameters.
| |
Testing samples | RBF | BP | | | | | | | | | |
| 1 | Actual value | 0.0064 | 0.7500 | 0.1850 | 1.3300 | 0.0064 | 0.7500 | 0.1850 | 1.3300 | Predictive value | 0.0064 | 0.7658 | 0.1894 | 1.3263 | 0.0073 | 0.8075 | 0.1851 | 1.3250 | Error/% | 0.0000 | 2.1067 | 2.3784 | −0.2782 | 14.5467 | 7.6702 | 0.0876 | 0.3763 |
| 2 | Actual value | 0.0058 | 0.6750 | 0.1665 | 1.1970 | 0.0058 | 0.6750 | 0.1665 | 1.1970 | Predictive value | 0.0062 | 0.7226 | 0.1753 | 1.1950 | 0.0070 | 0.7525 | 0.1675 | 1.1895 | Error/% | 6.8966 | 7.05185 | 5.2853 | −0.1671 | 20.7000 | 11.4833 | 0.6283 | 0.6293 |
| 3 | Actual value | 0.0070 | 0.8250 | 0.2035 | 1.4630 | 0.0070 | 0.8250 | 0.2035 | 1.4630 | Predictive value | 0.0068 | 0.8127 | 0.1954 | 1.4354 | 0.0077 | 0.8645 | 0.1982 | 1.4496 | Error/% | −2.8571 | −1.4909 | −3.9803 | −1.8865 | 9.7816 | 4.7920 | 2.5910 | 0.9153 |
|
|