Hybrid deep learning and optimized variational mode decomposition for point-interval runoff prediction
Table 5
KDE bandwidth comparison for IVMD-CNN-SVM: error fit (EMAE, ERMSE, ER2) and 90% interval metrics (PICP, PINAW, F) at two stations.
Click through the PLOS taxonomy to find articles in your field.
For more information about PLOS Subject Areas, click here.
KDE bandwidth comparison for IVMD-CNN-SVM: error fit (EMAE, ERMSE, ER2) and 90% interval metrics (PICP, PINAW, F) at two stations.