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The use of neural network analysis to predict the acoustic performance of large rooms part II. Predictions of the acoustical attributes of concert halls utilizing measured data

机译:使用神经网络分析预测大房间的声学性能第二部分。利用测量数据预测音乐厅的声学属性

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摘要

A method of predicting the G values (The strength factor in dB), C_80 values (the clarity factor in dB) and LF (the lateral energy fraction) in concert halls has been investigated. Constructional and acoustical data for 72 unoccupied concert halls has been investigated. Constructional and acoustical data for 72 unoccupied concert halls, in various countries, were Utilized for the neural network analyses.
机译:研究了预测音乐厅中的G值(以dB为单位的强度因子),C_80值(以dB为单位的清晰度因子)和LF(横向能量分数)的方法。调查了72个空置音乐厅的结构和声学数据。利用神经网络分析了各个国家的72个空置音乐厅的建筑和声学数据。

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