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
相关论文
共 50 条
  • [41] An Indoor Localization Algorithm Based on RBF Neural Network Optimized by the Improved PSO
    Gong, Yang
    Cui, Chen
    Yu, Jian
    Sun, Congyi
    [J]. INTERNATIONAL CONFERENCE ON ELECTRONIC INFORMATION TECHNOLOGY AND INTELLECTUALIZATION (ICEITI 2016), 2016, : 457 - 464
  • [42] PID Neural Network Motor Synchronization Control Based on the Improved PSO Algorithm
    Gao, Zhenxin
    Sun, Jianhong
    [J]. INTERNATIONAL CONFERENCE ON ELECTRONIC INFORMATION TECHNOLOGY AND INTELLECTUALIZATION (ICEITI 2016), 2016, : 112 - 122
  • [43] Prediction of Transformer Oil Temperature Based on an Improved PSO Neural Network Algorithm
    Zhang, Zhiyan
    Kong, Weihan
    Li, Linze
    Zhao, Hongfei
    Xin, Chunwen
    [J]. RECENT ADVANCES IN ELECTRICAL & ELECTRONIC ENGINEERING, 2024, 17 (01) : 29 - 37
  • [44] Application of neural network in optimizing operation parameters of power plant
    Ma, LQ
    He, WQ
    He, K
    [J]. Proceedings of the World Engineers' Convention 2004, Vol F-B, Power and Energy, 2004, : 209 - 214
  • [45] Project investment estimation based on radial basis function neural network
    Liu, Shu-Xian
    Duan, Xiao-Mu
    Yang, Jian-Ping
    [J]. Liaoning Gongcheng Jishu Daxue Xuebao (Ziran Kexue Ban)/Journal of Liaoning Technical University (Natural Science Edition), 2005, 24 (02): : 208 - 210
  • [46] Application of Improved SROM Based on RBF Neural Network Model in EMC Worst Case Estimation
    Hu, Bing
    Wang, Yingxin
    Huo, Shenghang
    Bai, Jinjun
    [J]. PROGRESS IN ELECTROMAGNETICS RESEARCH LETTERS, 2024, 119 : 51 - 57
  • [47] Application of BP Neural Network Based on Genetic Algorithm Optimization in Evaluation of Power Grid Investment Risk
    Jiang, Qin
    Huang, Ruanming
    Huang, Yichao
    Chen, Shujuan
    He, Yuqing
    Lan, Li
    Liu, Cong
    [J]. IEEE ACCESS, 2019, 7 : 154827 - 154835
  • [48] Research on safety management evaluation model based on fuzzy neural network for power plant construction project
    Niu, Dongxiao
    Wang, Yongli
    Xing, Mian
    [J]. DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2007, 14 : 376 - 380
  • [49] An Improved SoC Estimation Algorithm Based on Artificial Neural Network
    Liu, Fangming
    Liu, Ting
    Fu, Yuzhuo
    [J]. 2015 8TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 2, 2015, : 152 - 155
  • [50] Estimation of Engine Torque Based on Improved BP Neural Network
    Wang, Xudong
    Wu, Xiaogang
    Jing, Jimin
    Yu, Tengwei
    [J]. 2009 IEEE VEHICLE POWER AND PROPULSION CONFERENCE, VOLS 1-3, 2009, : 1462 - 1466
12345