Classification of interior noise comfort level of Proton model cars using feedforward neural network

Volume: 3, Issue: 4, Pages: 344 - 344
Published: Jan 1, 2013
Abstract
In this research, a Proton model cars noise comfort level classification system has been developed to detect the noise comfort level in cars using artificial neural network. This research focuses on developing a database consisting of car sound samples measured from different Proton make models in stationary and moving state. In the stationary condition, the sound pressure level is measured at 1,300 RPM, 2,000 RPM and 3,000 RPM while in moving...
Paper Details
Title
Classification of interior noise comfort level of Proton model cars using feedforward neural network
Published Date
Jan 1, 2013
Volume
3
Issue
4
Pages
344 - 344
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