BP Forecast Model Based on Improved PSO Algorithm
DOI:
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

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

    A BP prediction model which based on improved PSO algorithm is proposed in this essay, in this algorithm, I modify the way to calculate the inertia weight, and use the improved PSO algorithm instead of the gradient descent algorithm, Make this changes it will not fall into local minimum. And use this way to forecast the weather, through the experiment result I find that the improved algorithm has high efficiency, and it also improve the prediction accuracy.

    Reference
    Related
    Cited by
Get Citation

王行甫,陈宏亮.基于改进粒子群优化算法的BP预测模型.计算机系统应用,2014,23(4):135-137,143

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:August 30,2013
  • Revised:October 14,2013
  • Adopted:
  • Online: April 25,2014
  • 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