Research Article
Design of Deep Belief Networks for Short-Term Prediction of Drought Index Using Data in the Huaihe River Basin
Table 2
The DBN results of Bengbu SPI3.
| Number of input nodes | Number of first hidden nodes | Number of second hidden nodes | RMSE | MAE | Number of input nodes | Number of first hidden nodes | Number of second hidden nodes | RMSE | MAE |
| | | 5 | 0.6924 | 0.5497 | | | 5 | 0.6905 | 0.5510 | | | 10 | 0.6911 | 0.5567 | | | 10 | 0.6842 | 0.5425 | | 5 | 15 | 0.7103 | 0.5787 | | 5 | 15 | 0.6858 | 0.5473 | | | 20 | 0.7006 | 0.5712 | | | 20 | 0.7138 | 0.5860 | | | 25 | 0.8051 | 0.6858 | | | 25 | 0.7068 | 0.5769 | | | 5 | 0.7048 | 0.5702 | | | 5 | 0.6881 | 0.5472 | | | 10 | 0.6911 | 0.5506 | | | 10 | 0.6899 | 0.5479 | | 10 | 15 | 0.6962 | 0.5616 | | 10 | 15 | 0.6954 | 0.5548 | | | 20 | 0.7147 | 0.5874 | | | 20 | 0.7090 | 0.5775 | | | 25 | 0.7749 | 0.6606 | | | 25 | 0.7032 | 0.5805 | | | 5 | 0.6852 | 0.5453 | | | 5 | 0.6930 | 0.5545 | | | 10 | 0.6926 | 0.5596 | | | 10 | 0.7165 | 0.5887 | 8 | 15 | 15 | 0.6969 | 0.5636 | 9 | 15 | 15 | 0.7300 | 0.6106 | | | 20 | 0.7265 | 0.6113 | | | 20 | 0.7218 | 0.6070 | | | 25 | 0.7316 | 0.6236 | | | 25 | 0.7488 | 0.6375 | | | 5 | 0.7224 | 0.6001 | | | 5 | 0.6915 | 0.5516 | | | 10 | 0.6923 | 0.5525 | | | 10 | 0.6962 | 0.5592 | | 20 | 15 | 0.7152 | 0.5940 | | 20 | 15 | 0.7407 | 0.6245 | | | 20 | 0.6955 | 0.5560 | | | 20 | 0.7140 | 0.5885 | | | 25 | 0.7794 | 0.6679 | | | 25 | 0.7309 | 0.6136 | | | 5 | 0.6935 | 0.5570 | | | 5 | 0.6919 | 0.5563 | | | 10 | 0.6877 | 0.5496 | | | 10 | 0.7013 | 0.5637 | | 25 | 15 | 0.7037 | 0.5761 | | 25 | 15 | 0.6949 | 0.5617 | | | 20 | 0.7470 | 0.6322 | | | 20 | 0.7669 | 0.6566 | | | 25 | 0.7174 | 0.5868 | | | 25 | 0.7214 | 0.6104 |
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