Cover Image

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:
Bibliographic Details
Main Authors: Paularaj, M. P., Mohd Shukry, Abdul Majid, Sazali, Yaacob, Hariharan, M., Wan Mohd Ridzuan, Wan Ab Majid
Format: Working Paper
Language:English
Published: Universiti Kebangsaan Malaysia 2009
Subjects:
Reverberation time
Classrooms
Neural network
Neural networks (Computer science)
Higher education
Classrooms schedule
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/6370
Tags: Add Tag
No Tags, Be the first to tag this record!
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
score 13.222552

Similar Items