Support vector regression integrated with novel meta-heuristic algorithms for meteorological drought prediction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science
Link
https://link.springer.com/content/pdf/10.1007/s00703-021-00787-0.pdf
Reference98 articles.
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2. Achour K, Meddi M, Zeroual A et al (2020) Spatio-temporal analysis and forecasting of drought in the plains of northwestern Algeria using the standardized precipitation index. J Earth Syst Sci 129:42. https://doi.org/10.1007/s12040-019-1306-3
3. Aghelpour P, Bahrami-Pichaghchi H, Kisi O (2020) Comparison of three different bio-inspired algorithms to improve ability of neuro fuzzy approach in prediction of agricultural drought, based on three different indexes. Comput Electron Agric 170:105279. https://doi.org/10.1016/j.compag.2020.105279
4. Akar T, Aksoy H (2020) Stochastic and analytical approaches for sediment accumulation in river reservoirs. Hydrol Sci J 65:984–994. https://doi.org/10.1080/02626667.2020.1728474
5. Akhtari R, Morid S, Mahdian MH, Smakhtin V (2009) Assessment of areal interpolation methods for spatial analysis of SPI and EDI drought indices. Int J Climatol 29:135–145. https://doi.org/10.1002/joc.1691
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