以霜冰优化算法优化CNN-BiLSTM-Attention的参考蒸散量估算

付桐林, 金晶

Estimating reference evapotranspiration using CNN-BiLSTM-Attention enhanced by RIME optimization algorithm

Tonglin Fu, Jing Jin

表2 各模型在测试阶段的性能评价指标

Table 2 The performance metrics of each model in testing stage

模型 NSCE MSE RMSE MAE MAPE/% R2 RIME- CNN-BiLSTM-Attention 0.8830 0.2879 0.5366 0.4013 14.09 0.8930 OOA- CNN-BiLSTM-Attention 0.8816 0.3249 0.5700 0.4349 14.34 0.8816 NGO- CNN-BiLSTM-Attention 0.8796 0.3303 0.5747 0.4352 14.28 0.8796 HHO- CNN-BiLSTM-Attention 0.8769 0.3378 0.5812 0.4482 14.38 0.8769 CNN-BiLSTM-Attention 0.8754 0.3548 0.5957 0.4761 14.56 0.8654