The sample classification of abdomen MRI is carried out by the combining method of SOFM Neural network and doctors diagnosis.

将S OF M神经网络与医师诊断相结合对腹部MRI进行样本分类，并利用判别分析方法对肝硬化进行图像识别。

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Nine major kinds of fault in electrical source system of surface-to-air missile have been diagnosed respectively through BP and SOFM neural network, and pleasing results are obtained.

针对地空导弹电源系统的九种主要故障，分别用BP神经网络和SOFM神经网络对其进行了故障诊断，均取得了较好的效果。

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The characteristics of SOFM neural network is analysed and compared with the feature of Vector Quantizing problem in this paper. Based on this an algorithm for Vector Quantizing is put forward.

对自组织特征映射神经网络的特性进行分析，并将其与矢量量化问题的实质进行比较，提出了一个实现矢量量化的自组织特征映射算法。

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