Research Article
Compound Autoregressive Network for Prediction of Multivariate Time Series
Table 2
Parameters of the network structure and training.
| Datasets | Atmospheric quality data | Meteorological forecast data | Networks | Primary network | Auxiliary network | Primary network | Auxiliary network |
| Number of networks | 1 | 5 | 1 | 3 | Number of training times | 1000 | 1000 | 1000 | 1000 | Learning rate | 0.01 | 0.01 | 0.02 | 0.02 | Convergence error | 0.002 | 0.002 | 0.001 | 0.001 | Input delay | 1 : 6 | 1 : 6 | 1 : 12 | 1 : 12 | Output delay | 1 : 6 | 1 : 6 | 1 : 12 | 1 : 12 | Number of inputs | 6 | 10 | 4 | 6 | Number of outputs | 1 | 10 | 1 | 6 | Number of hidden-layer neurons | 10 | 14 | 7 | 10 |
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