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dc.contributor.authorYildrim, Sahin-
dc.contributor.authorErkaya, Selçuk-
dc.contributor.authorEski, Ikbal-
dc.contributor.authorUzmay, Ibrahim-
dc.date.accessioned2008-05-23T11:08:22Z-
dc.date.available2008-05-23T11:08:22Z-
dc.date.issued2008-05-
dc.identifier.issn0022-4456-
dc.identifier.urihttp://hdl.handle.net/123456789/1358-
dc.description340-347en_US
dc.description.abstractThis paper presents noise analysis of passenger cars using artificial neural networks (ANNs). The research covers experimental analysis of car’s engines and simulation analysis of noise parameters using ANNs. Radial Basis Neural Network (RBNN) type gives superior performance for predicting noise of cars.en_US
dc.language.isoen_USen_US
dc.publisherCSIRen_US
dc.sourceJSIR Vol.67(5) [May 2008]en_US
dc.subjectArtificial neural networken_US
dc.subjectEngine noiseen_US
dc.subjectLearning algorithmen_US
dc.titleDesign of neural predictor for noise analysis of passenger car’s enginesen_US
dc.typeArticleen_US
Appears in Collections: JSIR Vol.67(05) [May 2008]

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