RT Journal Article ID 33ded2775758b445 A1 Pichura, V. I. A1 Pilipenko, Yu. V. A1 Lisetskiy, F. N. A1 Dovbysh, O. E. T1 Forecasting of Hydrochemichal Regime of the Lower Dnieper Section using Neurotechnologies JF Hydrobiological Journal JO HYD YR 2015 FD 2015-05-28 VO 51 IS 3 SP 100 OP 110 K1 hydrochemical regime K1 neural networks K1 multilayer perceptron K1 forecast K1 time series. AB 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. PB Begell House LK https://www.dl.begellhouse.com/journals/38cb2223012b73f2,4bd2662644e4004e,33ded2775758b445.html