Noise Prediction in Industrial Workrooms Using Regression Modeling Methods Based on the Dominant Frequency Cutoff Point

Volume: 46, Issue: 2, Pages: 269 - 280
Published: Jul 4, 2018
Abstract
Noise pollution is one of the major problems in industrial environments. The physiological response to the noise in industrial environments depends on the characteristics of the noise and environment. This study aimed to develop an empirical model for predicting the level of noise in closed industrial spaces using regression modeling based on the dominant frequency cutoff point. After identifying and determining the effective input variables in...
Paper Details
Title
Noise Prediction in Industrial Workrooms Using Regression Modeling Methods Based on the Dominant Frequency Cutoff Point
Published Date
Jul 4, 2018
Volume
46
Issue
2
Pages
269 - 280
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