期刊文献+

我国全要素生产力改进C-均值聚类

Fuzzy Cluster Modification for Total Factor Productivity of Our Country
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摘要 我国每个省、直辖市由于受各种不同因素的影响,因而经济发展水平不一样。采用软计算方法中改进C-均值聚类,对我国31个省、直辖市的经济进行分类,将其分为了5类,并用BP网络对聚类结果进行仿真,检测聚类的效果。 In our country,every areas has different growth of economy because different kinds causes. We classify growth of economy of every city by soft computing.The article use relation of Fuzzy cluster modification belongs to soft computing to classify economy of every city.The cities, which have similar economic character, are form one class.The result of classifying is five classes,and then use BP neuron network to simulate the cluster result and test the cluster effect.
出处 《科技进步与对策》 CSSCI 北大核心 2005年第1期149-151,共3页 Science & Technology Progress and Policy
基金 国家自然科学基金项目(70273044)
关键词 全要素生产力 C-均值聚类 BP网络 total factor productivity C-means cluster BP neural network
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参考文献8

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