Table 7 Comparison of model performances.
From: A new prediction model based on deep learning for pig house environment
Data output | Models | R2 | MSE | MAPE |
|---|---|---|---|---|
Temperature | CNN-LSTM | 0.9792 | 0.05361 | 0.002265 |
CNN-BiLSTM | 0.9693 | 0.06136 | 0.002587 | |
CNN-GRU | 0.9725 | 0.05700 | 0.002401 | |
BO-CNN-GRU | 0.9811 | 0.04926 | 0.002081 | |
BO-SE-CNN-GRU | 0.9925 | 0.03085 | 0.001300 | |
Humidity | CNN-LSTM | 0.9924 | 0.1708 | 0.002633 |
CNN-BiLSTM | 0.9937 | 0.1483 | 0.002301 | |
CNN-GRU | 0.9927 | 0.1523 | 0.002367 | |
BO-CNN-GRU | 0.9943 | 0.1299 | 0.002011 | |
BO-SE-CNN-GRU | 0.9976 | 0.08782 | 0.001353 | |
CO2 | CNN-LSTM | 0.9844 | 1.943 | 0.003448 |
CNN-BiLSTM | 0.9929 | 1.273 | 0.002271 | |
CNN-GRU | 0.9822 | 1.681 | 0.003011 | |
BO-CNN-GRU | 0.9890 | 1.381 | 0.002459 | |
BO-SE-CNN-GRU | 0.9913 | 1.185 | 0.002116 | |
NH3 | CNN-LSTM | 0.9509 | 0.09177 | 0.02967 |
CNN-BiLSTM | 0.9684 | 0.07063 | 0.02328 | |
CNN-GRU | 0.9584 | 0.06115 | 0.02897 | |
BO-CNN-GRU | 0.9512 | 0.05316 | 0.02557 | |
BO-SE-CNN-GRU | 0.9883 | 0.03243 | 0.01536 |