| 用于船舶噪声分类的局域自适应子波神经网络分类器 |
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| 引用本文： | 张艳宁,焦李成,靳云姬,孙进才.用于船舶噪声分类的局域自适应子波神经网络分类器[J].系统工程与电子技术,1998(6). |
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| 作者姓名： | 张艳宁 焦李成 靳云姬 孙进才 |
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| 作者单位： | 西安电子科技大学雷达信号处理国家重点实验室，船舶总公司系统工程部，西北工业大学航海工程学院 |
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| 摘 要： | 提出了一种用于船舶噪声分类的局域自适应子波神经网络分类方法。首先利用傅里叶变换对三类船舶噪声进行预处理，然后利用网络局域化构造局域自适应子波神经网络分类器。通过对实际的三类处理后的船舶噪声谱进行自动特征提取并分类，分类结果令人满意，证明了该方法的优越性和工程应用前景。
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| 关 键 词： | 船舶噪声场，网络，特征选择，分类 |
An Efficient Classification of Ship Noises Based on Local Adaptive Wavelet Neural Network |
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| Zhang Yanning and Jiao Licheng Key Lab.for Radar Signal Processing,Xidian University,Xi'an Jin Yunji.An Efficient Classification of Ship Noises Based on Local Adaptive Wavelet Neural Network[J].System Engineering and Electronics,1998(6). |
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| Authors: | Zhang Yanning and Jiao Licheng Key Labfor Radar Signal Processing Xidian University Xi'an Jin Yunji |
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| Institution: | Zhang Yanning and Jiao Licheng Key Lab.for Radar Signal Processing,Xidian University,Xi'an 710071 Jin Yunji Department of System Engineering,General Vessel Company of China,Beijing 100063 Sun Jincai Institute of Acoustic Engineering,Northwestern Po |
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| Abstract: | In this paper, an efficient engineering classification of ship noises based on a local adaptive wavelet neural network is presented.First, the fourier transform preprocessing for three types of noises radiated from ships is necessary, then a local adaptive wavelet neural network classifier is designed by using local network theory. The classifier is used to extract automatically feature from actual ship signals and classify them after preprocessing.The classified results are encouraging, and the method is proved to be superior and efficient in the engineering application in the future. |
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| Keywords: | Adaptive wavelet neural netwok Feature extraction Classification |
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