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Hydrobiological Journal
SJR: 0.227 SNIP: 0.575 CiteScore™: 0.24

ISSN Druckformat: 0018-8166
ISSN Online: 1943-5991

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Hydrobiological Journal

DOI: 10.1615/HydrobJ.v51.i3.80
pages 100-110

Forecasting of Hydrochemichal Regime of the Lower Dnieper Section using Neurotechnologies

V. I. Pichura
Kherson State Agrarian University Kherson, Ukraine
Yu. V. Pilipenko
Kherson State Agrarian University Kherson, Ukraine
F. N. Lisetskiy
Belgorod State Research University Belgorod, Russia
O. E. Dovbysh
Regional South-Dnieper branch of State Environmental Academy Kherson, Ukraine


Paper deals with algorithm and results of application of intellectual systems for forecasting of the hydrochemical regime of the lower Dnieper. based on neurotechnology. Nonlinear multilayer artificial neural networks for forecasting of the main hydrochemical parameters have been created for the first time. Optimal parameters of the learning algorithm were identified; generalizing capability on the control sample and reliability of forecasting on the test sample of artificial neural networks were evaluated; forecast of hydrochemical regime till 2015 was realized.

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