Polar Vortex Multi-Day Intensity Prediction Relying on New Deep Learning Model: A Combined Convolution Neural Network with Long Short-Term Memory Based on Gaussian Smoothing Method

Kecheng Peng, Xiaoqun Cao, Bainian Liu, Yanan Guo, Chaohao Xiao, Wenlong Tian. Polar Vortex Multi-Day Intensity Prediction Relying on New Deep Learning Model: A Combined Convolution Neural Network with Long Short-Term Memory Based on Gaussian Smoothing Method. Entropy, 23(10):1314, 2021. [doi]

@article{PengCLGXT21,
  title = {Polar Vortex Multi-Day Intensity Prediction Relying on New Deep Learning Model: A Combined Convolution Neural Network with Long Short-Term Memory Based on Gaussian Smoothing Method},
  author = {Kecheng Peng and Xiaoqun Cao and Bainian Liu and Yanan Guo and Chaohao Xiao and Wenlong Tian},
  year = {2021},
  doi = {10.3390/e23101314},
  url = {https://doi.org/10.3390/e23101314},
  researchr = {https://researchr.org/publication/PengCLGXT21},
  cites = {0},
  citedby = {0},
  journal = {Entropy},
  volume = {23},
  number = {10},
  pages = {1314},
}