Forecasting Caspian Sea level changes using satellite altimetry data (June 1992–December 2013) based on evolutionary support vector regression algorithms and gene expression programming

Sea level forecasting at various time intervals is of great importance in water supply management. Evolutionary artificial intelligence (AI) approaches have been accepted as an appropriate tool for modeling complex nonlinear phenomena in water bodies. In the study, we investigated the ability of two...

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Vydané v:	Global and planetary change Ročník 121; s. 53 - 63
Hlavní autori:	Imani, Moslem, You, Rey-Jer, Kuo, Chung-Yen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Amsterdam Elsevier B.V 01.10.2014 Elsevier
Predmet:	Artificial intelligence Caspian Sea Caspian Sea level Earth, ocean, space Evolutionary Exact sciences and technology External geophysics Gene expression gene expression programming Mathematical analysis Mathematical models neural networks Physics of the oceans prediction Programming satellite altimetry satellites sea level support vector machine Support vector machines surface water Surface waves, tides and sea level. Seiches water supply Caspian Sea Eurasia, Caspian Sea gene expression programming support vector machine Caspian Sea level satellite altimetry Evolutionary algorithm Space remote sensing neural networks Satellite observation Sea level rise Support vector machine Forecast model Observation data sea level altimetry
ISSN:	0921-8181, 1872-6364
On-line prístup:	Získať plný text
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