%0 Journal Article %1 zhang2022summer %A Zhang, Zhi-Cheng %A Zeng, Xin-Min %A Li, Gen %A Lu, Bo %A Xiao, Ming-Zhong %A Wang, Bing-Zeng %D 2022 %I MDPI AG %J Atmosphere %K MyYangtzeWork machinelearning precip seasonal skill %N 6 %P 929 %R 10.3390/atmos13060929 %T Summer Precipitation Forecast Using an Optimized Artificial Neural Network with a Genetic Algorithm for Yangtze-Huaihe River Basin, China %U https://doi.org/10.3390/atmos13060929 %V 13

@article{zhang2022summer, added-at = {2022-07-15T14:29:20.000+0200}, author = {Zhang, Zhi-Cheng and Zeng, Xin-Min and Li, Gen and Lu, Bo and Xiao, Ming-Zhong and Wang, Bing-Zeng}, biburl = {https://www.bibsonomy.org/bibtex/2ae8bc332d9de03ad246dc31746e2aff7/pbett}, doi = {10.3390/atmos13060929}, interhash = {b813215936f60faa31f6feb37408f691}, intrahash = {ae8bc332d9de03ad246dc31746e2aff7}, journal = {Atmosphere}, keywords = {MyYangtzeWork machinelearning precip seasonal skill}, month = jun, number = 6, pages = 929, publisher = {{MDPI} {AG}}, timestamp = {2022-07-15T14:29:20.000+0200}, title = {Summer Precipitation Forecast Using an Optimized Artificial Neural Network with a Genetic Algorithm for Yangtze-Huaihe River Basin, China}, url = {https://doi.org/10.3390/atmos13060929}, volume = 13, year = 2022 }