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dc.contributor.authorКузнецов, А.В.
dc.contributor.authorМакарьянц, Г.М.
dc.date2016
dc.date.accessioned2025-08-22T12:22:10Z-
dc.date.available2025-08-22T12:22:10Z-
dc.date.issued2016
dc.identifier.identifierDspace\SGAU\20161122\60035
dc.identifier.citationМатериалы докладов междунар. науч.-техн. конф. 22-24 июня 2016 г. Ч. 1, с. 248-249
dc.identifier.isbn978-5-7883-1084-8
dc.identifier.urihttp://repo.ssau.ru/jspui/handle/123456789/14514-
dc.descriptionУДК 62.529
dc.description.abstractThe study covers the development of recurrent neural network mathematical model of micro gas turbine (MGTE) under transient conditions. In order to verify the developed model we have used thermodynamic mathematical dynamic MGTE model based on per-unit description. The engine face temperature and pressure via aircraft height and speed have been taken into account explicitly.
dc.languagerus
dc.publisherСамарский университет
dc.titleРазработка алгоритма создания нейросетевой модели малоразмерного газотурбинного двигателя
dc.title.alternativeA neural network model development algorythm for the micro gas-turbine engine
dc.typeArticle
local.identifier.oldurihttp://repo.ssau.ru/handle/Mezhdunarodnaya-nauchnotehnicheskaya-konferenciya-Problemy-i-perspektivy-razvitiya-dvigatelestroeniya/Razrabotka-algoritma-sozdaniya-neirosetevoi-modeli-malorazmernogo-gazoturbinnogo-dvigatelya-60035
local.identifier.oldurihttp://repo.ssau.ru/handle/Mezhdunarodnaya-nauchnotehnicheskaya-konferenciya-Problemy-i-perspektivy-razvitiya-dvigatelestroeniya/Razrabotka-algoritma-sozdaniya-neirosetevoi-modeli-malorazmernogo-gazoturbinnogo-dvigatelya-60035
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