%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 }