Please use this identifier to cite or link to this item:
http://earchive.tpu.ru/handle/11683/2504
Title: | Using neural nets for reducing gas concentrations by the data of trass gas analyzer at CO2-laser |
Authors: | Kataev, M. Yu. Sukhanov, A. Ya. |
Keywords: | neural nets; concentrations; gas; trass gas analyzers; lasers; method of least square |
Issue Date: | 2007 |
Publisher: | Томский политехнический университет |
Citation: | Kataev M. Yu. Using neural nets for reducing gas concentrations by the data of trass gas analyzer at CO2-laser / M. Yu. Kataev, A. Ya. Sukhanov // Bulletin of the Tomsk Polytechnic University. — 2007. — Vol. 311, № 5. — [P. 102-105]. |
Abstract: | 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 |
URI: | http://earchive.tpu.ru/handle/11683/2504 |
Appears in Collections: | Известия Томского политехнического университета. Инжиниринг георесурсов |
Files in This Item:
File | Description | Size | Format | |
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bulletin_tpu-2007-311eng-5-22.pdf | 327,29 kB | Adobe PDF | View/Open |
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