%0 Journal Article %1 sedi %A Nhu, Viet-Ha %A Khosravi, Khabat %A Cooper, James R. %A Karimi, Mahshid %A Kisi, Ozgur %A Pham, Binh Thai %A Lyu, Zongjie %D 2020 %I Taylor & Francis %J Hydrological Sciences Journal %K 2022 kde prediction random-subspace-method sediment seminar wissensverarbeitung %N 12 %P 2116-2127 %T Monthly suspended sediment load prediction using artificial intelligence: testing of a new random subspace method %U https://doi.org/10.1080/02626667.2020.1754419 %V 65

@article{sedi, added-at = {2023-01-29T01:14:14.000+0100}, author = {Nhu, Viet-Ha and Khosravi, Khabat and Cooper, James R. and Karimi, Mahshid and Kisi, Ozgur and Pham, Binh Thai and Lyu, Zongjie}, biburl = {https://www.bibsonomy.org/bibtex/211284f36dc9ca02528ce5e279674cd61/hudakoulani}, eprint = {https://doi.org/10.1080/02626667.2020.1754419}, interhash = {2cda05174577e317cb6017549577f1a5}, intrahash = {11284f36dc9ca02528ce5e279674cd61}, journal = {Hydrological Sciences Journal}, keywords = {2022 kde prediction random-subspace-method sediment seminar wissensverarbeitung}, number = 12, pages = {2116-2127}, publisher = {Taylor & Francis}, timestamp = {2023-01-29T01:14:46.000+0100}, title = {Monthly suspended sediment load prediction using artificial intelligence: testing of a new random subspace method}, url = {https://doi.org/10.1080/02626667.2020.1754419}, volume = 65, year = 2020 }