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Hybrid deep learning and optimized variational mode decomposition for point-interval runoff prediction

Fig 9

Comparison of interval prediction performance using different KDE bandwidth selection methods.

(A) Empirical and fitted CDFs of normalized prediction errors at the Hankou station. (B) Empirical and fitted CDFs of normalized prediction errors at the Luoshan station. (C) Prediction intervals obtained using different KDE bandwidth selection methods at the Hankou station. (D) Prediction intervals obtained using different KDE bandwidth selection methods at the Luoshan station.

Fig 9

doi: https://doi.org/10.1371/journal.pone.0343063.g009