DESIGN OF A PROPOSED NEURAL NETWORK FOR SOUND QUALITY ANALYSIS OF DIFFERENT TYPES FOR CAR SYSTEMS

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dc.contributor.authorYildirim, Sahin
dc.contributor.authorBingol, Mehmet Safa
dc.date.accessioned2024-11-07T10:40:13Z
dc.date.available2024-11-07T10:40:13Z
dc.date.issued2024
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractNowadays, in spite of advanced technology, there are still some sound problems on modern cars because of mechanical parts, oil lubrications, and electric motors. Due to these unwanted problems, it is necessary to design intelligent predictors such as artificial neural networks. In this investigation, a procedure of testing and evaluation on the sound quality of two types of cars are proposed and sound quality is analyzed through the cars road running test on the providing ground, which is carried out with varying running speed. To improve and predict the results of experimental approach analysis, a proposed neural network predictor is also designed to model of the system for possible experimental applications. The proposed neural network is a feedforward type network, which consists of multi hidden layers. Three different training algorithms are used for training the network. As basic factors for sound quality, only objective factors a considered such as loudness, sharpness, speech intelligibility, sound pressure level. The correlation between sound pressure level and other factors are discussed from a point of view of running speed dependency. Results of both computer simulations and experiments show that the neural predictor algorithm gives good results at accommodating different cases and provides superior prediction on two cars’s sound analysis. © 2024, Cefin Publishing House. All rights reserved.
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK
dc.identifier.doi10.17683/ijomam/issue16.9
dc.identifier.endpage81
dc.identifier.issn2559-6497
dc.identifier.issue16
dc.identifier.scopus2-s2.0-85197347770
dc.identifier.scopusqualityQ4
dc.identifier.startpage76
dc.identifier.urihttps://doi.org/10.17683/ijomam/issue16.9
dc.identifier.urihttps://hdl.handle.net/11480/11520
dc.identifier.volume2024
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherCefin Publishing House
dc.relation.ispartofInternational Journal of Mechatronics and Applied Mechanics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241106
dc.subjectNeural Network
dc.subjectNoise
dc.subjectSharpness
dc.subjectSound Pressure
dc.titleDESIGN OF A PROPOSED NEURAL NETWORK FOR SOUND QUALITY ANALYSIS OF DIFFERENT TYPES FOR CAR SYSTEMS
dc.typeArticle

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