Development of an Empirical Acoustic Model for Predicting Reverberation Time in Typical Industrial Workrooms Using Artificial Neural Networks-Reference-Cited by-同舟云学术

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Development of an Empirical Acoustic Model for Predicting Reverberation Time in Typical Industrial Workrooms Using Artificial Neural Networks

Published:2014-11-01 Issue:6 Volume:100 Page:1090-1097
ISSN:1610-1928
Container-title:Acta Acustica united with Acustica
language:en
Short-container-title:Acta Acustica united with Acustica

Author:

Aliabadi Mohsen,Golmohammadi Rostam,Ohadi Abdolreza,Mansoorizadeh Muharram,Khotanlou Hassan,Sarrafzadeh Mohammad Saber

Publisher

Wissenschaftliche Verlagsgesellschaft mbH

Subject

Music,Acoustics and Ultrasonics

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Empirical prediction model of psychophysiological responses of workers with respect to noise exposure based on random forest;Noise & Vibration Worldwide;2022-05-21

2. Modeling the sound absorption behavior of carpets using artificial intelligence;The Journal of The Textile Institute;2020-11-05

3. Acoustic Problems and Their Solutions in a Typical Open-Plan Bank Office;Ergonomics in Design: The Quarterly of Human Factors Applications;2019-02-21

4. Modelling of noise reduction using reverberation fields of echoic rooms;SECOND INTERNATIONAL CONFERENCE ON MATERIAL SCIENCE, SMART STRUCTURES AND APPLICATIONS: ICMSS-2019;2019

5. Empirical Study of Room Acoustic Conditions and Neurophysiologic Strain in Staff Working in Special Open-Plan Bank Offices;Acoustics Australia;2018-08-30

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