The self-organizing feature map (SOFM) uses weight of network to present structure of the input data and has preferable ability of classification.

自组织特征映射（SOFM）网络利用神经元权值向量表示输入数据的结构、具有较好的分类能力。

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The fusion image using SVM method outperformed the fusion image using SOFM networks method in terms of classification accuracy.

在分类精度方面，基于SVM方法的融合影像明显优于基于自组织神经网络方法的融合影像。

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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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