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自组织映射(SOM)是一种无监督学习的神经网络,它能使高维的原型矢量以低维的网格呈现出来,是强大的可视化分类工具。主要采用自组织映射网络的方法,发现最坏小区以及综合指标之间的联系,提高网优人员数据挖掘和提取知识的效率。
Self-organizing map (SOM) is a kind of unsupervised learning neural network, which can make high-dimensional prototype vectors appear in a low-dimensional grid. It is a powerful visual classification tool. It mainly uses the method of self-organizing mapping network to find the link between the worst cell and comprehensive index and improve the efficiency of data mining and knowledge extraction of networked personnel.