Erscheint 6 Ausgaben pro Jahr
ISSN Druckformat: 0018-8166
ISSN Online: 1943-5991
Indexed in
Forecasting of Hydrochemichal Regime of the Lower Dnieper Section using Neurotechnologies
ABSTRAKT
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.
-
Lisetskii F. N., Pichura V. I., Assessment and forecast of soil formation under irrigation in the steppe zone of Ukraine, Russian Agricultural Sciences, 42, 2, 2016. Crossref
-
Pichura V. I., Geo-modeling of zonal risk of pollution of surface waters in the transboundary Dnieper river basin with biogenic substances, Bìoresursi ì prirodokoristuvannâ, 9, 1-2, 2016. Crossref
-
Pichura V. I., Climatic conditionality of soil formation on the territory of the transboundary Dnieper river basin, Bìoresursi ì prirodokoristuvannâ, 8, 5-6, 2016. Crossref
-
Pichura V. I., Damage To Environmental Sustainability Of The Dnieper River Basin Caused By Agriculture, Naukovì dopovìdì Nacìonalʹnogo unìversitetu bìoresursiv ì prirodokoristuvannâ Ukraïni, 5(62), 2016. Crossref