Prediction of Reverberation time in university classrooms using Neural Network
Organized by Fakulti Kejuruteraan (Universiti Kebangsaan Malaysia), 27th - 28th November 2007 at Universiti Kebangsaan Malaysia, Selangor.
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Working Paper |
Language: | English |
Published: |
Universiti Kebangsaan Malaysia
2009
|
Subjects: | |
Online Access: | http://dspace.unimap.edu.my/xmlui/handle/123456789/6370 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Malaysia Perlis |
Language: | English |
id |
my.unimap-6370 |
---|---|
record_format |
dspace |
spelling |
my.unimap-63702009-07-09T07:31:35Z Prediction of Reverberation time in university classrooms using Neural Network Paularaj, M. P. Mohd Shukry, Abdul Majid Sazali, Yaacob Hariharan, M. Wan Mohd Ridzuan, Wan Ab Majid Reverberation time Classrooms Neural network Neural networks (Computer science) Higher education Classrooms schedule Organized by Fakulti Kejuruteraan (Universiti Kebangsaan Malaysia), 27th - 28th November 2007 at Universiti Kebangsaan Malaysia, Selangor. Reverberation time is fundamental to the study of the acoustics of an enclosed space. An important objective of architectural acoustics is to predict the reverberation time in an enclosed space. Reverberation time is also very important in our daily life for a better hearing and communication. Using existing computer models, reverberation time predictions are too difficult and too inaccurate. This paper presents a method for predicting the reverberation time in university classrooms using neural network. Measurement of reverberation time was conducted in 8 lecture halls at University Malaysia Perlis. All the measurements were taken with furniture and without furniture. The quality of the sound in any enclosed lecture hall depends on the shape of the room, the furniture, floor area and other ceiling materials. Neural network is trained using Conventional Back Propagation (BP) algorithm. 2009-07-09T07:31:35Z 2009-07-09T07:31:35Z 2007 Working Paper http://hdl.handle.net/123456789/6370 en Regional Conference on Advances in Noise, Vibration and Comfort (NVC 2007) Universiti Kebangsaan Malaysia |
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 |
Reverberation time Classrooms Neural network Neural networks (Computer science) Higher education Classrooms schedule |
spellingShingle |
Reverberation time Classrooms Neural network Neural networks (Computer science) Higher education Classrooms schedule Paularaj, M. P. Mohd Shukry, Abdul Majid Sazali, Yaacob Hariharan, M. Wan Mohd Ridzuan, Wan Ab Majid Prediction of Reverberation time in university classrooms using Neural Network |
description |
Organized by Fakulti Kejuruteraan (Universiti Kebangsaan Malaysia), 27th - 28th November 2007 at Universiti Kebangsaan Malaysia, Selangor. |
format |
Working Paper |
author |
Paularaj, M. P. Mohd Shukry, Abdul Majid Sazali, Yaacob Hariharan, M. Wan Mohd Ridzuan, Wan Ab Majid |
author_facet |
Paularaj, M. P. Mohd Shukry, Abdul Majid Sazali, Yaacob Hariharan, M. Wan Mohd Ridzuan, Wan Ab Majid |
author_sort |
Paularaj, M. P. |
title |
Prediction of Reverberation time in university classrooms using Neural Network |
title_short |
Prediction of Reverberation time in university classrooms using Neural Network |
title_full |
Prediction of Reverberation time in university classrooms using Neural Network |
title_fullStr |
Prediction of Reverberation time in university classrooms using Neural Network |
title_full_unstemmed |
Prediction of Reverberation time in university classrooms using Neural Network |
title_sort |
prediction of reverberation time in university classrooms using neural network |
publisher |
Universiti Kebangsaan Malaysia |
publishDate |
2009 |
url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/6370 |
_version_ |
1643788433025400832 |