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 |