A cnn-lstm model based on a meta-learning algorithm to predict groundwater level in the middle and lower reaches of the heihe river, china

HIGHLIGHTS

• who: Xingyu Yang and Zhongrong Zhang from the the Heihe River, China School of Mathematics and Physics, Lanzhou Jiaotong University, Lanzhou, China have published the research: A CNN-LSTM Model Based on a Meta-Learning Algorithm to Predict Groundwater Level in the Middle and Lower Reaches of the Heihe River, China, in the Journal: Water 2022, 2377 of 31/07/2022
• what: In this study a deep learning model is proposed to predict groundwater levels. Meta-learning can handle problems with fewer training samples, but currently lacks a network structure that matches the target task . . .
  

   

  

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