首页> 外文会议>International Conference on Soft Computing and Intelligent Systems;International Symposium on Advanced Intelligent Systems >The new proposal of the calculation for the significance degree by once SOM learning — Using iris, gene, and Tof-SIMS data
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The new proposal of the calculation for the significance degree by once SOM learning — Using iris, gene, and Tof-SIMS data

机译:通过IRIS,Gene和Tof-SIMS数据通过虹膜学习来计算显着程度的新提案

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The significance degree of each component was calculated only by once SOM learning where the Spherical Self-Organizing-Map (SSOM) was used for the demonstration. The method can also be used by the usual planar SOM. In the method, kinds of specimens of the data are inserted in each column as each specimen. The method is first demonstrated using the iris data.
机译:每种组分的显着性程度仅通过索马科学习来计算,其中球形自组织地图(SSOM)用于演示。 该方法也可以由通常的平面SOM使用。 在该方法中,将数据样本作为每个样本插入每列中。 首先使用虹膜数据演示该方法。

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