Then a classified frequency sensitive self-organizing feature map(CFSSOM) was proposed for the codebook training.

并对SOM算法进行了改进，提出了一种分类频率敏感自组织特征映射（CFSSOM）算法。

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The combination of curvilinear component analysis (CCA) and self-organizing feature map (SOFM) were applied to a diagnosis for fault feature extraction of bearing.

提出曲元分析(CCA)和自组织特征映射(SOFM)相结合的方法用于轴承的故障诊断特征提取。

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Self Organizing Map is a method of artificial neural network, which implements pattern recognition and data clustering simultaneously.

自组织特征映射是一种人工神经网络方法，可以同时实现模式识别和数据分类。

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