Application of Feed-Forward Neural Networks for Classifying Acoustics Levels in Vehicle Cabin

Vehicle acoustical comfort and vibration in a passenger car cabin are the main factors that attract a buyer in car purchase. Numerous studies have been carried out by automotive researchers to identify and classify the acoustics level in the vehicle cabin. The objective is to form a special benchmar...

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Veröffentlicht in:	Applied Mechanics and Materials 2013-12, Vol.471 (Noise, Vibration and Comfort), p.40-44
Hauptverfasser:	Junoh, Ahmad Kadri, Mohd Nopiah, Zulkifli, Ariffin, Ahmad Kamal
Format:	Artikel
Sprache:	eng
Schlagworte:	Acoustics Automobiles Automotive engineering Cabins Classification Mathematical models Neural networks Noise
Online-Zugang:	Volltext
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