Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Management, Monitoring, Policy and Law,Pollution,Water Science and Technology,Environmental Engineering
Reference126 articles.
1. Aladag CH, Egrioglu E, Kadilar C (2012) Improvement in forecasting accuracy using the hybrid model of ARFIMA and feed forward neural network. Am J Intell Syst 2(2):12–17. https://doi.org/10.5923/j.ajis.20120202.02
2. Abiodun OI, Jantan A, Omolara AE, Dada KV, Mohamed NA, Arshad H (2018) State-of-the-art in artificial neural network applications: A survey. Heliyon 4:e00938. https://doi.org/10.1016/j.heliyon.2018.e00938
3. Aguado-Rodríguez GJ, Quevedo-Nolasco A, Castro-Popoca M, Arteaga-Ramírez R, Vázquez-Peña MA, Zamora-Morales BP (2016) Meteorological variables prediction through arima models. Agrociencia 50:1–13
4. Ali M, Prasad R, Xiang Y, Yaseen ZM (2020) Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts. J Hydrol 584:124647. https://doi.org/10.1016/j.jhydrol.2020.124647
5. Anochi JA, de Almeida VA, de Campos Velho HF (2021) Machine learning for climate precipitation prediction modeling over South America. Remote Sens 13:2468. https://doi.org/10.3390/rs13132468
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