Research Article
Crop Yield Forecasting Using Artificial Neural Networks: A Comparison between Spatial and Temporal Models
Table 1
Statistical results of neural network training and testing.
| ā | Training | Testing | ā | | MSE | | | MSE | |
| MLP (100) | 329 | 0.0001 | 0.9996 | 40 | 0.0001 | 0.9943 | MLP (200) | 329 | 0.0001 | 0.9998 | 40 | 0.0001 | 0.9981 | NARNN (5 d) | 105 | 0.1035 | 0.9682 | 20 | 0.0231 | 0.8800 | NARNN (10 d) | 105 | 0.0069 | 0.9753 | 20 | 0.0188 | 0.9298 | NARXNN (5 d) | 105 | 0.0174 | 0.908 | 20 | 0.0528 | 0.6945 | NARXNN (10 d) | 105 | 0.0271 | 0.8574 | 20 | 0.0628 | 0.6801 |
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