%0 Journal Article %1 journals/fgcs/ChenALFXBL18 %A Chen, Weihong %A yao An, Ji %A Li, Renfa %A Fu, Li %A Xie, Guoqi %A Bhuiyan, Md. Zakirul Alam %A Li, Keqin %D 2018 %J Future Gener. Comput. Syst. %K dblp %P 78-88 %T A novel fuzzy deep-learning approach to traffic flow prediction with uncertain spatial-temporal data features. %U http://dblp.uni-trier.de/db/journals/fgcs/fgcs89.html#ChenALFXBL18 %V 89

@article{journals/fgcs/ChenALFXBL18, added-at = {2020-02-19T00:00:00.000+0100}, author = {Chen, Weihong and yao An, Ji and Li, Renfa and Fu, Li and Xie, Guoqi and Bhuiyan, Md. Zakirul Alam and Li, Keqin}, biburl = {https://www.bibsonomy.org/bibtex/20ff3f384f9d5e44c7aa5b98296ef8c5b/dblp}, ee = {https://doi.org/10.1016/j.future.2018.06.021}, interhash = {de240716c7e1a67723a9d02dff149a8e}, intrahash = {0ff3f384f9d5e44c7aa5b98296ef8c5b}, journal = {Future Gener. Comput. Syst.}, keywords = {dblp}, pages = {78-88}, timestamp = {2020-02-20T12:11:01.000+0100}, title = {A novel fuzzy deep-learning approach to traffic flow prediction with uncertain spatial-temporal data features.}, url = {http://dblp.uni-trier.de/db/journals/fgcs/fgcs89.html#ChenALFXBL18}, volume = 89, year = 2018 }