Aug 10, 2020 � Neighbourhood rough sets has strong capability on data classification and reduction, which can reduce those redundant rainfall runoff data. Long�...
In the paper, a hybrid model of neighbourhood rough sets with LSTM is proposed, which is used for the rainfall runoff prediction. The experimental results show�...
The experimental results show that the presented model could improve the training speed of LSTM and achieve much higher prediction accuracy than the�...
Yujia Yan's 3 research works with 19 citations, including: Rainfall runoff prediction via a hybrid model of neighbourhood rough set with LSTM.
Jan 3, 2020 � This study presents an application of a prediction model based on LSTM and the seq2seq structure to estimate hourly rainfall-runoff. Focusing on�...
Missing: neighbourhood | Show results with:neighbourhood
This article proposes a rainfall‐runoff prediction method of coupling generative adversarial network (GAN) and Takagi‐Sugeno (T‐S) fuzzy model, in which the GAN�...
Oct 17, 2023 � This study aims to enhance precision and reliability in predicting runoff patterns by integrating physical-based models like HEC-HMS with data-driven models,�...
Missing: neighbourhood rough
Lin et al. (2021) propose a hybrid model, namely the DIFF-FFNN-LSTM model, to predict hourly streamflow in the Andun basin of China. The result�...
Missing: via neighbourhood
A hybrid model-based “feature decomposition-component prediction-result reconstruction” named VMD-LSTM-PSO was proposed.
This paper proposes a hybrid intelligent model for runoff prediction. The proposed model is a combination of data preprocessing methods, genetic algorithms and�...
Missing: via neighbourhood rough