| 基于神经网络的近场声全息方法研究 |
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| 引用本文： | 王培利,李吉,周丽丽.基于神经网络的近场声全息方法研究[J].应用声学,2010,29(1):58-62. |
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| 作者姓名： | 王培利 李吉 周丽丽 |
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| 作者单位： | 1. 大连大学振动噪声研究所,大连,116622
2. 山东理工大学,淄博,255100 |
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| 摘 要： | 研究了用于声源识别的近场声全息方法中的声场重建算法,针对一般声场重建算法速度慢、误差大的缺点,提出了基于RBF神经网络的声场重建算法。通过仿真证明:相比较于常用的利用菲涅尔变换推导的声全息重建算法,该重建算法具有重建误差小、速度快的优点,具有较好的可行性。
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| 关 键 词： | 近场声全息 神经网络 声源识别 |
Study on nearfield acoustical holography based on neural networks |
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| WANG Pei-Li,LI Ji and ZHOU Li-Li.Study on nearfield acoustical holography based on neural networks[J].Applied Acoustics,2010,29(1):58-62. |
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| Authors: | WANG Pei-Li LI Ji and ZHOU Li-Li |
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| Institution: | WANG Pei-Li 1 LI Ji 1 ZHOU Li-Li 2(1 Noise , Vibration Institute of Dalian University,Dalian 116622)(2 Sh,ong University of Technology,Zibo 255100) |
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| Abstract: | This paper studies on the acoustic reconstruction algorithm for nearfield acoustical holography which can be used to identify noise sources.Considering disadvantages of common algorithm,a new holography reconstruction method based on RBF Neural Network is proposed.The simulation result show that this reconstruction method is an effective method which has small error and speed compared to reconstruction formulas based on Fresnel transform. |
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| Keywords: | Nearfield acoustic holography Neural networks Noise sources identification |
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