Açık Akademik Arşiv Sistemi

LECTURE NOTES IN COMPUTER SCIENCE

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dc.contributor.authors Temurtas, F; Tasaltin, C; Temurtas, H; Yumusak, N; Ozturk, ZZ;
dc.date.accessioned 2020-01-13T07:57:06Z
dc.date.available 2020-01-13T07:57:06Z
dc.date.issued 2003
dc.identifier.citation Temurtas, F; Tasaltin, C; Temurtas, H; Yumusak, N; Ozturk, ZZ; (2003). LECTURE NOTES IN COMPUTER SCIENCE. COMPUTER AND INFORMATION SCIENCES - ISCIS 2003, 2869, 186-179
dc.identifier.isbn 3-540-20409-1
dc.identifier.issn 0302-9743
dc.identifier.uri https://hdl.handle.net/20.500.12619/2548
dc.description.abstract In this study, a fuzzy logic based algorithm is presented for the concentration estimation of the CCl4 and CHCl3 gases by using the steady state sensor response and an artificial neural network (ANN) structure is proposed for the concentration estimation of the same gases inside the sensor response time by using the transient sensor response. The Quartz Crystal Microbalance (QCM) type sensors were used as gas sensors. A computer controlled measurement and automation system with IEEE 488 card was used to control the gas concentration values and to collect the sensor responses. Acceptable performance was obtained for the concentration estimation with fuzzy inference. The appropriateness of the artificial neural network for the gas concentration determination inside the sensor response time is observed.
dc.language English
dc.publisher SPRINGER-VERLAG BERLIN
dc.subject Computer Science
dc.title LECTURE NOTES IN COMPUTER SCIENCE
dc.type Proceedings Paper
dc.identifier.volume 2869
dc.identifier.startpage 179
dc.identifier.endpage 186
dc.contributor.department Sakarya Üniversitesi/Bilgisayar Ve Bilişim Bilimleri Fakültesi/Bilgisayar Mühendisliği Bölümü
dc.contributor.saüauthor Yumuşak, Nejat
dc.contributor.saüauthor Temurtaş, Feyzullah
dc.relation.journal COMPUTER AND INFORMATION SCIENCES - ISCIS 2003
dc.identifier.wos WOS:000188096800023
dc.contributor.author Yumuşak, Nejat
dc.contributor.author Temurtaş, Feyzullah


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