Research Article
A New Dual-Mode GEP Prediction Algorithm Based on Irregularity and Similar Period
Table 2
BP neural network and ARIMA experimental parameter settings.
| | BP-ANN | ARIMA |
| Input layer nodes | 10 | — | Output layer nodes | 1 | — | Hidden nodes | 15 | — | Maximum number of training | 5000 | — | E-learning efficiency | 0.025 | — | Target network expected error | 0.2 | — |
| Excitation function | Hidden layer: logis | — | Output layer: purelin |
| p | — | 10 | q | — | 9 | d | — | 2 |
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