Research Article
Yield Prediction for Tomato Greenhouse Using EFuNN
Table 2
Test results and performance comparison of demand forecasting.
| ā | EFuNN | ANN (Multilayer perceptron) |
| Learning epochs | 1 | 2500 | Training error (RMSE) | 0.0013 | 0.116 | Testing error (RMSE) | 0.0092 | 0.118 | Computational load (in billion flops) | 0.536 | 87.2 |
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