Using neural nets for reducing gas concentrations by the data of trass gas analyzer at CO2-laser; Bulletin of the Tomsk Polytechnic University; Vol. 311, № 5

Using neural nets for reducing gas concentrations by the data of trass gas analyzer at CO2-laser; Bulletin of the Tomsk Polytechnic University; Vol. 311, № 5

Bibliographic Details
Parent link:	Bulletin of the Tomsk Polytechnic University/ Tomsk Polytechnic University (TPU).— , 2006-2007 Vol. 311, № 5.— 2007.— [P. 102-105]
Main Author:	Kataev M. Yu.
Other Authors:	Sukhanov A. Ya.
Summary:	Заглавие с титульного листа Электронная версия печатной публикации Aspects of neutral network construction and its learning for increasing accuracy of gas concentration reduction by measuring data of CO2-laser trass gas analyzer have been considered. Accuracy of reducing atmospheric gas (Н2О, СО2 и О3) concentration by neural network method in comparison with traditionally used method of least square is given
Language:	English
Published:	2007
Series:	Control, computer engineeringand information science
Subjects:	neural nets concentrations gas trass gas analyzers lasers method of least square электронный ресурс
Online Access:	http://www.lib.tpu.ru/fulltext/v/Bulletin_TPU/2007/v311eng/i5/22.pdf
Format:	Electronic Book Chapter
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=183097

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