%0 Journal Article %1 journals/nca/ChenLHZ23 %A Chen, Lingqiang %A Li, Guanghui %A Huang, Guangyan %A Zhao, Qinglin %D 2023 %J Neural Comput. Appl. %K dblp %N 28 %P 21291-21307 %T A lightweight model using frequency, trend and temporal attention for long sequence time-series prediction. %U http://dblp.uni-trier.de/db/journals/nca/nca35.html#ChenLHZ23 %V 35

@article{journals/nca/ChenLHZ23, added-at = {2023-09-30T00:00:00.000+0200}, author = {Chen, Lingqiang and Li, Guanghui and Huang, Guangyan and Zhao, Qinglin}, biburl = {https://www.bibsonomy.org/bibtex/27ce6e92bf5bcbc715c4e53babc3abbe7/dblp}, ee = {https://doi.org/10.1007/s00521-023-08871-9}, interhash = {a494556d580a1f8eaafec35c807f854f}, intrahash = {7ce6e92bf5bcbc715c4e53babc3abbe7}, journal = {Neural Comput. Appl.}, keywords = {dblp}, month = {October}, number = 28, pages = {21291-21307}, timestamp = {2024-04-08T10:00:00.000+0200}, title = {A lightweight model using frequency, trend and temporal attention for long sequence time-series prediction.}, url = {http://dblp.uni-trier.de/db/journals/nca/nca35.html#ChenLHZ23}, volume = 35, year = 2023 }