%0 Journal Article %A Pichura, V. I. %A Pilipenko, Yu. V. %A Lisetskiy, F. N. %A Dovbysh, O. E. %D 2015 %I Begell House %K hydrochemical regime, neural networks, multilayer perceptron, forecast, time series. %N 3 %P 100-110 %R 10.1615/HydrobJ.v51.i3.80 %T Forecasting of Hydrochemichal Regime of the Lower Dnieper Section using Neurotechnologies %U https://www.dl.begellhouse.com/journals/38cb2223012b73f2,4bd2662644e4004e,33ded2775758b445.html %V 51 %X 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. %8 2015-05-28