计算机工程与科学2017，Vol.39Issue(3)：567-571,5.DOI:10.3969/j.issn.1007-130X.2017.03.024
基于混合算法的通信用户规模预测方法研究
A communication user scale prediction method based on hybrid algorithm
司秀丽 1刘子琦1
作者信息
- 1. 吉林农业大学信息技术学院,吉林长春130118
- 折叠
摘要
Abstract
It is very important for the decision-making of communication operators to accurately predict the scale of communication users.However,the existing conventional prediction methods have problems such as large prediction error,low prediction rate and so on.We study the user scale prediction model based on the RBF neural network,and in order to improve the prediction performance of the RBF neural network algorithm and enhance the convergence efficiency of the prediction model,we combine the gradient descent algorithm and the genetic algorithm to optimize the parameters of the RBF neural network.Example analysis shows that the hybrid RBF neural network prediction model is better than other traditional prediction models,and it has an advantage in predicting speed.关键词
RBF神经网络/遗传算法/梯度下降算法/用户规模预测/混合算法Key words
RBF neural network/genetic algorithm/gradient descent algorithm/user scale prediction/hybrid algorithm分类
信息技术与安全科学引用本文复制引用
司秀丽,刘子琦..基于混合算法的通信用户规模预测方法研究[J].计算机工程与科学,2017,39(3):567-571,5.
