Standard

Neural nets for analysis of influence of combined blast on indices of blast furnace operation. / Dmitriev, A. N.; Shcherbatskij, V. B.
In: Metallurg, No. 5, 2004, p. 30-32.

Research output: Contribution to journal › Article › peer-review

Harvard

Dmitriev, AN & Shcherbatskij, VB 2004, 'Neural nets for analysis of influence of combined blast on indices of blast furnace operation', Metallurg, no. 5, pp. 30-32.

APA

Dmitriev, A. N., & Shcherbatskij, V. B. (2004). Neural nets for analysis of influence of combined blast on indices of blast furnace operation. Metallurg, (5), 30-32.

Vancouver

Dmitriev AN, Shcherbatskij VB. Neural nets for analysis of influence of combined blast on indices of blast furnace operation. Metallurg. 2004;(5):30-32.

Author

Dmitriev, A. N. ; Shcherbatskij, V. B. / Neural nets for analysis of influence of combined blast on indices of blast furnace operation. In: Metallurg. 2004 ; No. 5. pp. 30-32.

BibTeX

@article{a687c654a3794e6d869d963034750af1,
title = "Neural nets for analysis of influence of combined blast on indices of blast furnace operation",
abstract = "Many tools such as mathematical models, intelligent systems etc. are used for controlling the blast furnace process. It has been shown that application of neural networks is also efficient. Large amount of information without clear analytic dependence is noted in case of blast furnace heat. Such information can be processed by means of neural robot. Excel Neural Package is used for training the neural robot. Number of analyzed factors is 24. Output data such as blast furnace productivity, cast iron quality etc. The information is transferred to 23 neurons. Information for training the neural robot has been presented. Efficiency of the neural robot has been shown.",
author = "Dmitriev, {A. N.} and Shcherbatskij, {V. B.}",
year = "2004",
language = "Русский",
pages = "30--32",
journal = "Metallurg",
issn = "0026-0827",
publisher = "Общество с ограниченной ответственностью {"}Металлургиздат{"}",
number = "5",

}

RIS

TY - JOUR

T1 - Neural nets for analysis of influence of combined blast on indices of blast furnace operation

AU - Dmitriev, A. N.

AU - Shcherbatskij, V. B.

PY - 2004

Y1 - 2004

N2 - Many tools such as mathematical models, intelligent systems etc. are used for controlling the blast furnace process. It has been shown that application of neural networks is also efficient. Large amount of information without clear analytic dependence is noted in case of blast furnace heat. Such information can be processed by means of neural robot. Excel Neural Package is used for training the neural robot. Number of analyzed factors is 24. Output data such as blast furnace productivity, cast iron quality etc. The information is transferred to 23 neurons. Information for training the neural robot has been presented. Efficiency of the neural robot has been shown.

AB - Many tools such as mathematical models, intelligent systems etc. are used for controlling the blast furnace process. It has been shown that application of neural networks is also efficient. Large amount of information without clear analytic dependence is noted in case of blast furnace heat. Such information can be processed by means of neural robot. Excel Neural Package is used for training the neural robot. Number of analyzed factors is 24. Output data such as blast furnace productivity, cast iron quality etc. The information is transferred to 23 neurons. Information for training the neural robot has been presented. Efficiency of the neural robot has been shown.

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=12244272468

M3 - Статья

SP - 30

EP - 32

JO - Metallurg

JF - Metallurg

SN - 0026-0827

IS - 5

ER -

ID: 44766669