Model of Web Community Network Public Opinion Spread Based on Gray Neural Network
DOI:
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    In order to solve the propagation problem in the public opinion's spread process in the dynamic and uncertain Web community, we proposal a model which combines the gray theory differential equation model with the extended BP neural network model based on the analysis of gray theory system. Firstly, according to the network structure and propagation characteristics, the differential equation model of gray theory is established. Then, the model was mapped to the extended BP neural network. Finally, through training the neural network, the network model owns an ability of propagating prediction. Simulation results show that the combined model has a higher accuracy ratio than the single GM model in the propagation prediction of the Web community of public opinion's spread.

    Reference
    Related
    Cited by
Get Citation

王杨,闫小敬,王梦瑶,陈付龙,赵传信.基于灰色神经网络的Web社区主题舆情传播模型.计算机系统应用,2013,22(11):119-122

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:April 15,2013
  • Revised:May 10,2013
  • Adopted:
  • Online: November 22,2013
  • Published:
Article QR Code
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-3
Address:4# South Fourth Street, Zhongguancun,Haidian, Beijing,Postal Code:100190
Phone:010-62661041 Fax: Email:csa (a) iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063