现代电子技术2016，Vol.39Issue(23)：25-28,4.DOI:10.16652/j.issn.1004-373x.2016.23.007
基于混合算法的通信用户规模预测
Research on communication user scale forecasting based on hybrid algorithm
燕敏 1王春洁2
作者信息
- 1. 四川现代职业学院 电子信息技术系，四川 成都 610207
- 2. 电子科技大学成都学院，四川 成都 611731
- 折叠
摘要
Abstract
Since the conventional SVR forecasting model and SVR forecasting model optimized with GA and PSO have poor stability of optimizing result,and are easy to fall into the local optimal solution,the artificial fish swarm algorithm,which has strong robust performance and global search ability,and can quickly jump out of the local optimal solution,is combined with the SVR algorithm to establish the forecasting model based on hybrid algorithm. The hybrid algorithm can quickly and accurately get the global optimal solution,avoid the problems that the conventional algorithm has no global information,but only has slow convergence speed and low accuracy caused by the local information while updating the artificial fish position. The hybrid algo⁃rithm forecasting model,traditional cubic curve fitting algorithm and GA⁃SVR algorithm are used to establish the communication user scale forecasting model. The communication user scale in 2010—2012 was forecasted. The experimental results show that the studied communication user scale model based on hybrid algorithm has high forecast accuracy and good stability,and is bet⁃ter than other two algorithms.关键词
通信用户规模预测/混合算法/支持向量机回归预测模型/人工鱼群算法Key words
communication user scale forecasting/hybrid algorithm/support vector machine regression forecasting model/artificial fish swarm algorithm分类
信息技术与安全科学引用本文复制引用
燕敏,王春洁..基于混合算法的通信用户规模预测[J].现代电子技术,2016,39(23):25-28,4.
