The application of power plant construction investment estimation based on improved neural network by PSO

被引：0
|
作者：
Jia Zheng-yuan [1 ]
Tian Li [1 ]
Liu Qingchao [1 ]
机构：
[1] N China Elect Power Univ, Sch Business Adm, Baoding, Peoples R China
来源：
2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31 | 2008年
关键词：
investment estimation; BP neural network; power plant construction project; PSO;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
Using BP neural network estimate the investment of the power plant construction project is this paper's innovative points. First we give the engineering characteristic factors of power plant construction project, then give the value of each qualitative index. Then use Improved BP neural network by PSO to estimate the investment. From the result, we can see that is more accuracy and speedily than BP neural network algorithm. Lastly, we can get a satisfaction result. This can be guiding the project construction investment.
引用
收藏
页码：7452 / 7455
页数：4
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