Drought forecasting using data-driven methods and an evolutionary algorithm

The present study focuses on quantitative (exact) and qualitative (classifying) drought forecasting in Gorganrood, Iran, based on monthly time-series of standard precipitation index (SPI) with 1–6 months lead-times. In so doing, recursive multi-layer perceptron (RMLP) and recursive support vector re...

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Veröffentlicht in:	Modeling earth systems and environment 2017-12, Vol.3 (4), p.1675-1689
Hauptverfasser:	Hosseini-Moghari, Seyed-Mohammad, Araghinejad, Shahab, Azarnivand, Ali
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Autoregressive models Chemistry and Earth Sciences Computer Science Correlation coefficient Correlation coefficients Criteria Drought Earth and Environmental Science Earth Sciences Earth System Sciences Ecosystems Environment Evolutionary algorithms Forecasting Frameworks Lead time Math. Appl. in Environmental Science Mathematical Applications in the Physical Sciences Mathematical models Original Article Physics Root-mean-square errors Statistical analysis Statistics for Engineering Support vector machines Warning systems
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