Short-term runoff prediction optimization method based on bgru-bp and blstm-bp neural networks

HIGHLIGHTS

• who: Sheng He from the State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute have published the Article: Short-term Runoff Prediction Optimization Method Based on BGRU-BP and BLSTM-BP Neural Networks, in the Journal: (JOURNAL)
• what: In this study two models were proposed which were the combination of the bidirectional gated recurrent unit and backpropagation neural network and the bidirectional long short-term memory and backpropagation neural network. The research methods were applied to simulate in the Yanglou hydrological station Northern Anhui Province China. The main contributions . . .
  

   

  

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