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人工神经网络应用于厅堂声级预测
引用本文:罗小华,宁玲.人工神经网络应用于厅堂声级预测[J].苏州科技学院学报(工程技术版),2006,19(3):73-76.
作者姓名:罗小华  宁玲
作者单位:苏州科技学院,建筑系,江苏,苏州,215011
摘    要:根据目前已有文献的研究结论和厅堂实测数据,将人工神经网络应用于厅堂声级的预测。结果表明:对于矩形平面厅堂,选择少数与厅堂声级相关性高的几何、物理参量作为神经网络模型的输入变量,可以准确地预测厅堂声级。

关 键 词:人工神经网络  厅堂  声级
文章编号:1672-0679(2006)03-0073-04
修稿时间:2005年11月21

Neutral Networks Predictions of Speech Levels in Classrooms and Halls
LUO Xiao-hua,NING Ling.Neutral Networks Predictions of Speech Levels in Classrooms and Halls[J].Journal of University of Science and Technology of Suzhou:Engineering and Technology,2006,19(3):73-76.
Authors:LUO Xiao-hua  NING Ling
Abstract:Using the results of acoustic measure,neutral network analysis is used to predict the speech levels for classrooms and halls.It shows that the good agreements between measured and calculated results can be obtained if the basic parameters used as inputs to the first layer of the neutral network are reasonable.
Keywords:artificial neural networks  classrooms and halls  speech levels
本文献已被 CNKI 维普 万方数据 等数据库收录!
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