| 基于自组织特征映射神经网络的聚类分析的应用 |
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| 引用本文： | 徐小华,付明柏,胡忠旭.基于自组织特征映射神经网络的聚类分析的应用[J].新余高专学报,2014(4):11-13. |
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| 作者姓名： | 徐小华 付明柏 胡忠旭 |
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| 作者单位： | 昭通学院网络信息中心,云南昭通657000 |
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| 摘 要： | 介绍了自组织特征映射神经网络结构和算法，并将此神经网络用于葡萄酒化学成分产地的聚类分析，实验结果表明：该网络的聚类准确率达到了87％，具有一定的科学性和适用性。
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| 关 键 词： | 自组织特征映射神经网络 化学成分 葡萄酒 原产地 |
Application of self - organizing map neural network in cluster analysis |
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| Institution: | XU Xiao - hua, FUMing - bai, HU Zhong - xu ( Zhaotong College, Zhaotong 657000 China) |
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| Abstract: | This paper firstly introduced the structure and algorithm of the Self - Organizing Map Neural Network, and then applied it in the origin cluster analysis of wine chemical composition. The experimental results showed that the clustering accuracy rate of this network could reach 87%, possessing a strong scientific nature and applicability. |
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| Keywords: | Self- organizing Map Neural Network chemical composition wine origin |
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