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Application of feed-forward neural networks for classifying acoustics levels in vehicle cabin

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Main Authors: Ahmad Kadri, Junoh, Zulkifli, Mohd Nopiah, Ahmad Kamal, Ariffin
Other Authors: ahmadkadrijunoh@gmail.com
Format: Article
Language:English
Published: Trans Tech Publications 2014
Subjects:
Acoustics level
Neural network optimization
Sound quality
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/33468
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id my.unimap-33468
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spelling my.unimap-334682014-04-07T09:15:16Z Application of feed-forward neural networks for classifying acoustics levels in vehicle cabin Ahmad Kadri, Junoh Zulkifli, Mohd Nopiah Ahmad Kamal, Ariffin ahmadkadrijunoh@gmail.com zmn@vls.eng.ukm.my kamal@vls.eng.ukm.my Acoustics level Neural network optimization Sound quality Link to publisher's homepage at http://www.ttp.net/ 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 benchmark for acoustics level that may be referred for any acoustics improvement purpose. This study is focused on the sound quality change over the engine speed [rp to recognize the noise pattern experienced in the vehicle cabin. Since it is difficult for a passenger to express, and to evaluate the noise experienced or heard in a numerical scale, a neural network optimization approach is used to classify the acoustics levels into groups of noise annoyance levels. A feed forward neural network technique is applied for classification algorithm, where it can be divided into two phases: Learning Phase and Classification Phase. The developed model is able to classify the acoustics level into numerical scales which are meaningful for evaluation purposes. 2014-04-07T09:15:16Z 2014-04-07T09:15:16Z 2014 Article Applied Mechanics and Materials, vol.471, 2014, pages 40-44 1662-7482 http://dspace.unimap.edu.my:80/dspace/handle/123456789/33468 http://www.scientific.net/AMM.471.40 10.4028/www.scientific.net/AMM.471.40 en Trans Tech Publications
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Acoustics level
Neural network optimization
Sound quality
spellingShingle Acoustics level
Neural network optimization
Sound quality
Ahmad Kadri, Junoh
Zulkifli, Mohd Nopiah
Ahmad Kamal, Ariffin
Application of feed-forward neural networks for classifying acoustics levels in vehicle cabin
description Link to publisher's homepage at http://www.ttp.net/
author2 ahmadkadrijunoh@gmail.com
author_facet ahmadkadrijunoh@gmail.com
Ahmad Kadri, Junoh
Zulkifli, Mohd Nopiah
Ahmad Kamal, Ariffin
format Article
author Ahmad Kadri, Junoh
Zulkifli, Mohd Nopiah
Ahmad Kamal, Ariffin
author_sort Ahmad Kadri, Junoh
title Application of feed-forward neural networks for classifying acoustics levels in vehicle cabin
title_short Application of feed-forward neural networks for classifying acoustics levels in vehicle cabin
title_full Application of feed-forward neural networks for classifying acoustics levels in vehicle cabin
title_fullStr Application of feed-forward neural networks for classifying acoustics levels in vehicle cabin
title_full_unstemmed Application of feed-forward neural networks for classifying acoustics levels in vehicle cabin
title_sort application of feed-forward neural networks for classifying acoustics levels in vehicle cabin
publisher Trans Tech Publications
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/33468
_version_ 1643797193501442048
score 13.214268

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