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Prediction of classroom reverberation time using neural network

Zainudin, Fathin Liyana and Mahamad, Abd Kadir and Saon, Sharifah and Yahya, Musli Nizam (2018) Prediction of classroom reverberation time using neural network. Journal of Physics: Conference Series, 995 (012028). pp. 2-8. ISSN 17426596

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Abstract

In this paper, an alternative method for predicting the reverberation time (RT) using neural network (NN) for classroom was designed and explored. Classroom models were created using Google SketchUp software. The NN applied training dataset from the classroom models with RT values that were computed from ODEON 12.10 software. The NN was conducted separately for 500Hz, 1000Hz, and 2000Hz as absorption coefficient that is one of the prominent input variable is frequency dependent. Mean squared error (MSE) and regression (R) values were obtained to examine the NN efficiency. Overall, the NN shows a good result with MSE < 0.005 and R > 0.9. The NN also managed to achieve a percentage of accuracy of 92.53% for 500Hz, 93.66% for 1000Hz, and 93.18% for 2000Hz and thus displays a good and efficient performance. Nevertheless, the optimum RT value is range between 0.75 – 0.9 seconds

Item Type: Article
Subjects: T Technology > TH Building construction > TH1-844 Building construction
Divisions: Faculty of Electrical and Electronic Engineering > Department of Communication Engineering
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 30 Sep 2019 03:37
Last Modified: 30 Sep 2019 03:37
URI: http://eprints.uthm.edu.my/id/eprint/11743
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