Молимо вас користите овај идентификатор за цитирање или овај линк до ове ставке: https://scidar.kg.ac.rs/handle/123456789/20969
Пун извештај метаподатака
Поље DC-а ВредностЈезик
dc.contributor.authorJordovic Pavlovic, Miroslava-
dc.contributor.authorRaspopovic Milic, Miroslava-
dc.contributor.authorPopović, Marica-
dc.contributor.authorGalovic, Slobodanka-
dc.contributor.authorMarkušev, Dragan-
dc.contributor.editorBulatović, Radovan-
dc.date.accessioned2024-07-09T07:15:03Z-
dc.date.available2024-07-09T07:15:03Z-
dc.date.issued2023-
dc.identifier.issn2812-9474en_US
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/20969-
dc.description.abstractClassification of microphones as photoacoustic detectors is important part of procedure of photoacoustic measurements calibration. The requirements of photoacoustic experiment are accuracy, precision, reliability and work in real time in order to be competitive measurement technique. According to current state, real time is still a problem. This paper suggests improvement of classification method currently in use by dimensionality reduction of input vector considered in the data preprocessing, having consequence in significant simplification of measurements and thus notable decrease of measurement time, so reaching real time calibration procedure. By applying the method presented in the article the number of measurement points will be one, two or three depending on its position on frequency axes which is extremely smaller number than commonly accepted (usually 70 - 80 for the frequency range 20 Hz - 20 000 Hz). The method is based on computational intelligence algorithms and expert knowledge.en_US
dc.language.isoenen_US
dc.publisherUniversity of Kragujevac, The Faculty of Mechanical and Civil Engineering in Kraljevoen_US
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.sourceEngineering Today-
dc.subjectMeasurement data processingen_US
dc.subjectNeural networken_US
dc.subjectClassificationen_US
dc.subjectPrincipal component analysisen_US
dc.subjectDimensionality reductionen_US
dc.subjectMicrophoneen_US
dc.titleA method for efficient classification of microphones based on expert knowledge and computational intelligenceen_US
dc.typearticleen_US
dc.description.versionPublisheden_US
dc.identifier.doi10.5937/engtoday2300006Jen_US
dc.type.versionPublishedVersionen_US
Налази се у колекцијама:Faculty of Mechanical and Civil Engineering, Kraljevo

Број прегледа

756

Број преузимања

10

Датотеке у овој ставци:
Датотека Опис ВеличинаФормат 
EngineeringToday2023_1_Jordovic_Pavlovic.pdf2.63 MBAdobe PDFСличица
Погледајте


Ставке на SCIDAR-у су заштићене ауторским правима, са свим правима задржаним, осим ако није другачије назначено.