Neural Networks For Electrohydrodynamic Effect Modelling

Neural Networks For Electrohydrodynamic Effect Modelling

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This paper presents currently achieved results concerning methods of electrohydrodynamiceffect used in geophysics simulated with feedforward networks trained with backpropagation algorithm, radial basis function networks and generalized regression networks.

Bibliographic Details
Main Authors: Wiesław Wajs, Jolanta Gancarz
Format: Article
Language:English
Published: AGH University of Science and Technology Press 2004-01-01
Series:Computer Science
Subjects:
electrohydrodynamic effect; neural networks; computer simulation
Online Access:http://journals.agh.edu.pl/csci/article/download/499/377
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spelling doaj-034aa576952e4781965ca592df2ddbb32020-11-24T23:14:14ZengAGH University of Science and Technology PressComputer Science1508-28062004-01-0164910.7494/csci.2004.6.5.49Neural Networks For Electrohydrodynamic Effect ModellingWiesław Wajs0Jolanta Gancarz1Akademia Górniczo-Hutnicza w KrakowieZakład Sieciowe Systemy Informatyczne, PWSZ w KrośnieThis paper presents currently achieved results concerning methods of electrohydrodynamiceffect used in geophysics simulated with feedforward networks trained with backpropagation algorithm, radial basis function networks and generalized regression networks.http://journals.agh.edu.pl/csci/article/download/499/377electrohydrodynamic effect; neural networks; computer simulation
collection DOAJ
language English
format Article
sources DOAJ
author Wiesław Wajs
Jolanta Gancarz
spellingShingle Wiesław Wajs
Jolanta Gancarz
Neural Networks For Electrohydrodynamic Effect Modelling
Computer Science
electrohydrodynamic effect; neural networks; computer simulation
author_facet Wiesław Wajs
Jolanta Gancarz
author_sort Wiesław Wajs
title Neural Networks For Electrohydrodynamic Effect Modelling
title_short Neural Networks For Electrohydrodynamic Effect Modelling
title_full Neural Networks For Electrohydrodynamic Effect Modelling
title_fullStr Neural Networks For Electrohydrodynamic Effect Modelling
title_full_unstemmed Neural Networks For Electrohydrodynamic Effect Modelling
title_sort neural networks for electrohydrodynamic effect modelling
publisher AGH University of Science and Technology Press
series Computer Science
issn 1508-2806
publishDate 2004-01-01
description This paper presents currently achieved results concerning methods of electrohydrodynamiceffect used in geophysics simulated with feedforward networks trained with backpropagation algorithm, radial basis function networks and generalized regression networks.
topic electrohydrodynamic effect; neural networks; computer simulation
url http://journals.agh.edu.pl/csci/article/download/499/377
work_keys_str_mv AT wiesławwajs neuralnetworksforelectrohydrodynamiceffectmodelling
AT jolantagancarz neuralnetworksforelectrohydrodynamiceffectmodelling
_version_ 1725595436588204032

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