An automatic hyperparameter optimization DNN model for precipitation prediction
Author:
Funder
National Natural Science Foundation of China
Natural Science Foundation of Guangxi Zhuang Autonomous Region
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-021-02507-y.pdf
Reference45 articles.
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3. Panaligan D, Razon JA, Caro J, et al (2016) Using machine learning to provide rapid rainfall forecasts based on radar-derived data. In: workshop on computing: Theory & Practice (WCTP), pp 117-131
4. Yang TC, Yu PS, Lin KH, Kuo CM, Tseng HW (2018) Predictor selection method for the construction of support vector machine (SVM)-based typhoon rainfall forecasting models using a non-dominated sorting genetic algorithm. Meteorol Appl 25(4):510–522
5. Meyer H, Kühnlein M, Appelhans T, Nauss T (2016) Comparison of four machine learning algorithms for their applicability in satellite-based optical rainfall retrievals. Atmos Res 169:424–433
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