基于自适应子波神经网络提出了一种船舶噪声分类方法，构造了一种用于船舶噪声分类的自适应子波神经网络分类器，并应用该分类器对前置处理后的三类船舶噪声进行了自动地提取识别特征，并分类。该方法所获得的特征空间与以ＡＲ建模方法获得的特征空间相比，类别之间的可分性好，特征数目少，分类结果令人满意，证明了该方法的优越性 Based on the adaptive wavelet neural network, a method of ship noise classification is proposed, an adaptive wavelet neural network classifier for ship noise classification is constructed and applied to classify the three kinds of pre-processed ship noise An automatic extraction of recognition features was performed and categorized. Compared with the feature space obtained by the AR modeling method, the feature space obtained by the proposed method has good separability, fewer features and satisfactory classification results, which proves the superiority of the method