Forecasting the 10.7-cm solar radio flux using deep cnn-lstm neural networks

HIGHLIGHTS

• who: Junqi Luo and colleagues from the Advanced Science and Technology Research Institute, Beibu Gulf University, Qinzhou, China have published the paper: Forecasting the 10.7-cm Solar Radio Flux Using Deep CNN-LSTM Neural Networks, in the : Processes 2022, 10, 262. of /2022/
• what: In the experiment, multiple evaluation indexes are used to evaluate the prediction effect of comparative algorithms, as shown in Formulas(12)-(15).
• how: This paper proposed a non-linear method a convolutional and recurrent neural network combined model to achieve end-to-end F10.7 forecasts. In Ref . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.