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首页> 外文期刊>Journal of Mechanical Science and Technology >Developing the logic for evaluating the indoor noise of a naval vessel using a back-propagation neural network
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Developing the logic for evaluating the indoor noise of a naval vessel using a back-propagation neural network

机译：使用反向传播神经网络开发用于评估海军舰船室内噪声的逻辑

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摘要

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 A-weighted 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.
机译：海军舰船内的噪声对于考虑是否需要听力保护，改善工作环境以及与船员生活保持良好沟通至关重要。船舶的室内噪声通常由A加权声压级指定，但是还需要其他评估参数来更有效地反映人的感觉。本文使用与房间声学相关的其他心理反应，例如NR（噪声等级），NC（噪声准则），RC（房间准则），PSIL（首选语音干扰等级）和响度，来评估室内客舱和办公室内的噪声。军舰。通过将这些对噪声的心理反应与描述船员对海军舰船上的室内噪声的满意度的调查结果进行比较，本文提出了一种使用反向传播神经网络算法的新评价指标，该指标可以代表船员对室内噪声的满意程度。海军舰船的室内噪音。

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