Доступ предоставлен для: Guest
Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
Hydrobiological Journal
SJR: 0.227 SNIP: 0.575 CiteScore™: 0.24

ISSN Печать: 0018-8166
ISSN Онлайн: 1943-5991

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

Краткое описание

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:

The Information Analytical Subsystem for Support of Management Decision Making in the Social Sphere of the Region
Telecommunications and Radio Engineering, Vol.64, 2005, issue 1-6
T. I. Lapina, M. V. Artemenko, O. Gudets, M. V. Sokolova
Breaking Cryptosystem Based on Low Order Cutting-off
Journal of Automation and Information Sciences, Vol.41, 2009, issue 2
Andrey V. Fesenko
Efficiency of Nonuniform Coding in the Real Channels of Automatic Control Systems Low-Set Elements when Using Multiposition Time Signals
Telecommunications and Radio Engineering, Vol.53, 1999, issue 7-8
M. G. Borid'ko, V. V. Topalov, A. A. Grin', V. N. Zakharchenko
Self-organizing Maps Application for Detection of Fraudulent Transactions in a Payment System
Journal of Automation and Information Sciences, Vol.38, 2006, issue 12
Anna A. Strizhak, Vladimir A. Zaslavskiy
Nutritional Composition and Bioactive Constituents of Artificial Culture of Ophiocordyceps longissima (Ascomycetes)
International Journal of Medicinal Mushrooms, Vol.17, 2015, issue 1
Sung Hee Nam, Wen Ming Cheng, Chun Ru Li, Ying Yu Zhang, Yang Liu