%0 Journal Article %1 journals/asc/YangCWLL16 %A Yang, Yi %A Chen, Yanhua %A Wang, Yachen %A Li, Caihong %A Li, Lian %D 2016 %J Appl. Soft Comput. %K dblp %P 663-675 %T Modelling a combined method based on ANFIS and neural network improved by DE algorithm: A case study for short-term electricity demand forecasting. %U http://dblp.uni-trier.de/db/journals/asc/asc49.html#YangCWLL16 %V 49

@article{journals/asc/YangCWLL16, added-at = {2016-12-01T00:00:00.000+0100}, author = {Yang, Yi and Chen, Yanhua and Wang, Yachen and Li, Caihong and Li, Lian}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2dd10e05deb3f76ee3f1c7c90e9aa8a81/dblp}, ee = {http://dx.doi.org/10.1016/j.asoc.2016.07.053}, interhash = {3854338c4888b243d72c3904e2d30236}, intrahash = {dd10e05deb3f76ee3f1c7c90e9aa8a81}, journal = {Appl. Soft Comput.}, keywords = {dblp}, pages = {663-675}, timestamp = {2016-12-02T10:33:53.000+0100}, title = {Modelling a combined method based on ANFIS and neural network improved by DE algorithm: A case study for short-term electricity demand forecasting.}, url = {http://dblp.uni-trier.de/db/journals/asc/asc49.html#YangCWLL16}, volume = 49, year = 2016 }