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Developing the logic for evaluating the indoor noise of a naval vessel using a back-propagation neural network Hyun-Soo Hong, Sang-Ryul Shim and Hyung-Suk Han*
The Journal of Mechanical Science and Technology, vol. 25, no. 11, pp.2755-2762, 2011
Abstract : The noise inside a naval vessel is very important in considering the need for hearing protection, improving the working environment
and maintaining good communications for crews living on board a naval vessel. The indoor noise of a ship usually is specified by the Aweighted
sound pressure level, but other evaluating parameters are required to reflect human senses more effectively. This paper uses
additional psychological responses related to room acoustics, such as NR (noise rating), NC (noise criterion), RC (room criterion), PSIL
(preferred speech interference level) and loudness to evaluate the noise inside cabins and offices on a naval vessel. Through comparing
these psychological responses to the noise against the survey results describing the crew's degree of satisfaction with the indoor noise
aboard the naval vessel, this paper proposes a new evaluation index using a back-propagation neural network algorithm which can represent
the sound quality of the indoor noise in a naval vessel.
Keyword :
Back-propagation neural network; Indoor noise; Linear regression; Naval vessel
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