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自组织竞争人工神经网络在聚类问题中的运用
Application of Self-organizing NNs in Cluster
【摘要】 本章以自组织竞争人工神经网络为工具 ,对全国各省的公路交通运输发展现状水平进行了聚类分析。此分类对各省发展制定下一阶段发展战略具有一定的全局指导性。通过直截利用人工神经网络中的工具箱函数 ,进行编程 ,能迅速得到正确、简明的结果 ,说明了自组织竞争型人工神经网络用于解决分类问题的正确性
【Abstract】 The paper uses Self-organizing NNs as tools to cluster the level of present transportation-development of all the provinces in our country.This clustering for every province’s development can instruct the development-strategy of next step.Using directly tools-function of neural network,editing process,we can get right and concise results quickly,which can direct the right by using Self-organizing NNs to solve such problem of clustering.
【关键词】 自组织竞争型人工神经网络;
评价指标体系;
聚类;
【Key words】 Self-organizing NNs; setup of evaluated target; clustering;
【Key words】 Self-organizing NNs; setup of evaluated target; clustering;
- 【文献出处】 山西科技 ,Shanxi Science and Technology , 编辑部邮箱 ,2005年01期
- 【分类号】F224
- 【被引频次】5
- 【下载频次】265