Automated test system of diesel engines based on fuzzy neural network

dc.contributor.author	Biktimirov R.
dc.contributor.author	Valiev R.
dc.contributor.author	Galiullin L.
dc.contributor.author	Zubkov E.
dc.contributor.author	Iljuhin A.
dc.date.accessioned	2018-09-18T20:30:51Z
dc.date.available	2018-09-18T20:30:51Z
dc.date.issued	2014
dc.identifier.issn	1815-932X
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/140655
dc.description.abstract	© Medwell Journals, 2014. This study deals with the method for controlling a test stand of diesel engines based on fuzzy neural network. Structure and training algorithm have been proposed for a fuzzy neural network to control a diesel engine during testing. A knowledge base structure has been proposed. Fuzzy rules have been described to control a diesel engine. Techniques and algorithms have been realized in the form of a computer program. The effectiveness of the proposed automated diesel engine test system has been analyzed.
dc.relation.ispartofseries	Research Journal of Applied Sciences
dc.subject	Automated test system
dc.subject	Diesel engine
dc.subject	Fuzzy rules
dc.subject	Information technology
dc.subject	Neuro-fuzzy network
dc.title	Automated test system of diesel engines based on fuzzy neural network
dc.type	Article
dc.relation.ispartofseries-issue	12
dc.relation.ispartofseries-volume	9
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	1059
dc.source.id	SCOPUS1815932X-2014-9-12-SID84918838675

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Публикации сотрудников КФУ Scopus [24551]
Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.