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Please use this identifier to cite or link to this item: http://elib.bsu.by/handle/123456789/114021
Title: Application of neural network modeling to identification and prediction problems in ecology data analysis for metallurgy and welding industry
Authors: Kainov, N. U.
Tarkhov, D. A.
Shemyakinaz, T. A.
Keywords: ЭБ БГУ::ТЕХНИЧЕСКИЕ И ПРИКЛАДНЫЕ НАУКИ. ОТРАСЛИ ЭКОНОМИКИ::Металлургия
Issue Date: 2014
Publisher: Minsk : Education and Upbringing
Citation: Nonlinear Phenomena in Complex Systems. - 2014. - Vol. 17, N 1. - P. 57-63
Abstract: Neural network approach to the solution of a problem of identification and forecasting is suggested. The task is to construct a hierarchical system for environmental and economic monitoring of metalworking industry. The proposed approach is shown on three model tasks.
URI: http://elib.bsu.by/handle/123456789/114021
ISSN: 1561-4085
Appears in Collections:2014. Volume 17. Number 1

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