基于模糊神经网络对经济的聚类分析

在现实生活中具有同等人力资本的劳动者在不同的生产力环境下的经济贡献率是不同的 ,有时甚至不可比较的。利用人工神经网络 (SOM网络 ) ,通过 Matlab语言编程 ,根据技术进步增长率对整个经济进行模式分类。分类的结果是大致把 2 9个省市分为 6个类 ,反映了各地区的经济与技术进步增长率情况

Analysis of Economy Classify based on Neuron Network

In real world,the labor's economic contribution rate who have the same capital is different in different productivity surroundings and sometimes the contribution rate isn't comparable.This paper tells classification to the whole pattern of economy through artificial neuron network,Matlab programming language and according to technology progress increase rate.The result of classification is that 29 provinces and cities are divided into 6 classifications,which expresses the technology progress increase rate of each area.