Table 2. Comparison of the Experimental Results of Different Optimization Algorithms for the GRU Model.
| model | running time/s | MSE of the training set | MSE of the test set |
|---|---|---|---|
| SGD | 3 | 0.000899 | 0.000836 |
| SGDM | 3 | 0.000470 | 0.000435 |
| NAG | 4 | 0.000469 | 0.000433 |
| RMSProp | 3 | 0.000459 | 0.000421 |
| AdaGrad | 4 | 0.000478 | 0.000439 |
| AdaDelta | 4 | 0.000474 | 0.000436 |
| Adam | 4 | 0.000463 | 0.000432 |
| Adamax | 4 | 0.000458 | 0.000423 |