gesjGEOGRAPHY, ENVIRONMENT, SUSTAINABILITYGEOGRAPHY, ENVIRONMENT, SUSTAINABILITY2071-93882542-1565Russian Geographical Society10.24057/2071-9388-2010-3-4-25-31gesj-235Research ArticleGEOGRAPHYГеографияCASPIAN SEA LEVEL PREDICTION USING ARTIFICIAL NEURAL NETWORK AND EMPIRICAL MODE DECOMPOSITIONMakarenkoNikolaing-makar@mail.ruKarimovaLyailyaklyailya@mail.ruKruglunOlgaokruglun@mail.ru201001122010342531Copyright © Makarenko N., Karimova L., Kruglun O., 20102010Makarenko N., Karimova L., Kruglun O.Makarenko N., Karimova L., Kruglun O.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://ges.rgo.ru/jour/article/view/235Caspian Sea levelfractal approximationmultifractal analysisempirical mode decompositionembedologynonlinear predictionReferencesBarnsley, M.F. (2000) Fractals Everywhere. Hawley Rising, 550 p.Barnsley, M.F. (2000) Fractals Everywhere. 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The authors declare that there are no conflicts of interest present.