According to the characteristic of shaft-rate electric field of ships, the recognition and classification methods of ship targets based on wavelet transform and neural network were proposed.

根据舰船轴频电场信号的特点，提出了基于小波变换和神经网络的目标识别和分类方法。

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The paper studies the methods of feature selection in pattern recognition, and USES nearest neighbor classification accuracy as the evaluation criteria for feature selection.

研究了模式识别中的特征选择方法，采用最近邻分类正确率作为特征选择的性能评价函数。

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After the pretreatment and features extraction, it is preferred to use methods of pattern recognition for classification and recognition.

在经过预处理、特征提取后，对医学图像的识别和分类主要应用模式识别的各种理论和方法。

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