%0 Journal Article
%1 Yuan_2019
%A Yuan, Shijin
%A Luo, Xiaodan
%A Mu, Bin
%A Li, Jing
%A Dai, Guokun
%D 2019
%I MDPI AG
%J Atmosphere
%K climate deeplearning lstm nao todo:read
%N 5
%P 252
%R 10.3390/atmos10050252
%T Prediction of North Atlantic Oscillation Index with Convolutional LSTM Based on Ensemble Empirical Mode Decomposition
%U https://doi.org/10.3390%2Fatmos10050252
%V 10
@article{Yuan_2019,
added-at = {2020-11-11T09:16:05.000+0100},
author = {Yuan, Shijin and Luo, Xiaodan and Mu, Bin and Li, Jing and Dai, Guokun},
biburl = {https://www.bibsonomy.org/bibtex/2a465b3ef18c174aef6022b3f56b4741f/annakrause},
description = {Atmosphere | Free Full-Text | Prediction of North Atlantic Oscillation Index with Convolutional LSTM Based on Ensemble Empirical Mode Decomposition},
doi = {10.3390/atmos10050252},
interhash = {174cbdeda46cd09f393129f7ba0deccd},
intrahash = {a465b3ef18c174aef6022b3f56b4741f},
journal = {Atmosphere},
keywords = {climate deeplearning lstm nao todo:read},
month = may,
number = 5,
pages = 252,
publisher = {{MDPI} {AG}},
timestamp = {2020-11-11T09:16:05.000+0100},
title = {Prediction of North Atlantic Oscillation Index with Convolutional {LSTM} Based on Ensemble Empirical Mode Decomposition},
url = {https://doi.org/10.3390%2Fatmos10050252},
volume = 10,
year = 2019
}