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 2020-01-13T07:57:03Z
dc.date.available 2020-01-13T07:57:03Z
dc.date.issued 2004
dc.identifier.citation Temurtas, F; Tasaltin, C; Temurtas, H; Yumusak, N; Ozturk, ZZ; (2004). LECTURE NOTES IN COMPUTER SCIENCE. COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2004, PT 4, 3046, 405-398
dc.identifier.isbn 3-540-22060-7
dc.identifier.issn 0302-9743
dc.identifier.uri https://hdl.handle.net/20.500.12619/2511
dc.description.abstract In this study, an artificial neural network (ANN) structure with tapped time:delays is used for the concentration estimation of Toluene gas 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. The determination of Toluene gas concentrations from the trend of the transient sensor responses achieved with acceptable good performances, and the appropriateness of the artificial neural network for the gas concentration determination inside the sensor response time is observed with these training methods.
dc.language English
dc.publisher SPRINGER-VERLAG BERLIN
dc.subject Telecommunications
dc.title LECTURE NOTES IN COMPUTER SCIENCE
dc.type Proceedings Paper
dc.identifier.volume 3046
dc.identifier.startpage 398
dc.identifier.endpage 405
dc.contributor.saüauthor Temurtaş, Feyzullah
dc.contributor.saüauthor Yumuşak, Nejat
dc.relation.journal COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2004, PT 4
dc.identifier.wos WOS:000221854800042
dc.contributor.author Temurtaş, Feyzullah
dc.contributor.author Yumuşak, Nejat


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