Peng, K.; Cao, X.; Liu, B.; Guo, Y.; Xiao, C.; Tian, W.
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 2021, 23, 1314.
https://doi.org/10.3390/e23101314
AMA Style
Peng K, Cao X, Liu B, Guo Y, Xiao C, Tian W.
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. 2021; 23(10):1314.
https://doi.org/10.3390/e23101314
Chicago/Turabian Style
Peng, Kecheng, Xiaoqun Cao, Bainian Liu, Yanan Guo, Chaohao Xiao, and Wenlong Tian.
2021. "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, no. 10: 1314.
https://doi.org/10.3390/e23101314
APA Style
Peng, K., Cao, X., Liu, B., Guo, Y., Xiao, C., & Tian, W.
(2021). 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.
https://doi.org/10.3390/e23101314
