Inscrição na biblioteca: Guest
Portal Digital Begell Biblioteca digital da Begell eBooks Diários Referências e Anais Coleções de pesquisa
Hydrobiological Journal
SJR: 0.217 SNIP: 0.575 CiteScore™: 0.24

ISSN Imprimir: 0018-8166
ISSN On-line: 1943-5991

Volumes:
Volume 55, 2019 Volume 54, 2018 Volume 53, 2017 Volume 52, 2016 Volume 51, 2015 Volume 50, 2014 Volume 49, 2013 Volume 48, 2012 Volume 47, 2011 Volume 46, 2010 Volume 45, 2009 Volume 44, 2008 Volume 43, 2007 Volume 42, 2006 Volume 41, 2005 Volume 40, 2004 Volume 39, 2003 Volume 38, 2002 Volume 37, 2001 Volume 36, 2000 Volume 35, 1999 Volume 34, 1998

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

RESUMO

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.


Articles with similar content:

Optimization of Structure of Capital Investments for Investment Project of Enterprise
Journal of Automation and Information Sciences, Vol.32, 2000, issue 4
Yuliya V. Bondarenko, Mikhail Z. Zgurowsky
Modeling Method of Discrete Dynamic Systems with Constant Structure
Journal of Automation and Information Sciences, Vol.42, 2010, issue 12
Vladimir N. Spiridonov
Nonlinear Parametric Identification Based on the Generalized Probabilistic Criteria
Journal of Automation and Information Sciences, Vol.40, 2008, issue 5
Sergey V. Sokolov, Pavel A. Kucherenko
The Analytical Model of Technical Diagnosis of Telecommunication Network Devices with Preliminary Clustering of the Attribute Space
Telecommunications and Radio Engineering, Vol.68, 2009, issue 1
Yu. N. Belikov, I. Yu. Lysanov
Procedure of Pre-Implementation Survey for the Purpose of Design of the Enterprise Information Network
Telecommunications and Radio Engineering, Vol.62, 2004, issue 7-12
A. S. Sviridov