摘要
本文利用我国31个省区市的人均GDP、三次产业产值比重和就业比重相关数据建立了BP人工神经网络模型,对未来我国人均GDP在16000—45000元的范围内变化过程中就业结构和产业结构发展趋势进行了预测,得到了我国就业比重和产业比重的发展曲线,对曲线的形状和出现拐点的情况进行了分析,并归纳总结了我国就业结构和产业结构未来的发展特征。
The domestic and foreign research shows that, there are correlations in the three industry employment structure, industrial structure and per capita GDP （ or GNP per capita ）. Using the data of per capita GDP, three industrial production value proportion and employment proportion in China＇s 31 provinces and autonomous regions, it built BP artificial neural network model to predict the trend of the development of industrial structure and employment structure which will change with per capita GDP in the range of 16000-45000 yuan.
出处
《中国人力资源开发》
北大核心
2013年第13期85-91,共7页
Human Resources Development of China
关键词
产业结构
就业结构
人均GDP
BP人工神经网络模型
Industrial Structure
Employment Structure
Per-capita GDP
BP Artificial Neural Network Model
