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