我国建筑行业发展研究——基于生产函数和BP神经网络

Study of Chinese Building Industry——Based on Cobb-Douglas Production Function and BP Neural Network

建筑业是我国国民经济的重要物质生产部门,它与发展国民经济、改善人民生活的质量有着密切的关系。我国建筑业的发展为国民经济高速增长做出了重要贡献,建筑业的发展趋势将直接影响到国民生产总值及国际市场对我国建筑业的资本投放。建筑业是劳动密集型行业,提供了大量的就业机会,从这个角度讲,建筑行业发展良好与否对社会稳定有十分重要的意义。因此,对建筑行业的发展进行研究是非常有必要,有价值的。本文将利用柯布-道格拉斯生产函数和BP神经网络对我国建筑业的发展趋势做预测研究,借助Matlab实现建模和函数拟合。通过对2005-2011年我国建筑行业的数据进行分析、研究及预测,得出了2012年建筑总产值,为建筑业仿真预测研究提供了一定的基础和依据。

The construction industry is the important material production sectors.It plays a crucial role on the development of national economy and improvement of people＇s lives.The development of Chinese building industry has made great contributions to the growth of the national economy.Trends of the construction industry will directly influence on the GNP and the capital from the international market.The construction industry which is labor intensive provides a lot of employment opportunities,from this perspective,the well-developed construction industry is very significant to social stability.Therefore,it is necessary and valuable to conduct a research on the development of the construction industry.In this paper we will use the Cobb-Douglas production function and BP neural network to predict the development of Chinese building industry,besides,Matlab will also play an important role in modeling and function fitting.Based on the analysis,research and forecasting data of Chinese building industry in 2005-2011,we find out the value of Chinese building industry in 2012.This paper provides the basis and foundation for the simulation prediction of Chinese building industry.