文献类型：期刊文献

英文题名：Research on service model of prediction in cognitive networks

作者：Dandan, Li[1,2]; Wanxin, Xue[1]; Yilei, Pei[1]

第一作者：李丹丹;Dandan, Li

通讯作者：Dandan, Li

机构：[1] Management School, Beijing Union University, Beijing, 100101, China; [2] Business School, University of International Business and Economics, Beijing, 100029, China

第一机构：北京联合大学管理学院

年份：2015

卷号：9

期号：1

起止页码：1365-1372

外文期刊名：Open Cybernetics and Systemics Journal

收录：EI(收录号：20163902848826);Scopus(收录号：2-s2.0-84988486114)

语种：英文

外文关键词：Ant colony optimization - Forecasting - Neural networks - Quality of service

摘要：How to provide great service to users is one of the most important jobs to cognitive networks. Cognitive networks can perceive the external environment; intelligently and automatically change its behaviour to adapt the environment. This feature is more suitable to provide security for users with Quality of Service. This paper proposes a hybrid traffic prediction model, which trains BPNN with Ant Colony Algorithm based on the analysis of the present models. Furthermore, the model includes three stages, and the model predicts the network traffic with the hybrid model. The proposed model can avoid the problem of slow convergence speed and an easy trap in local optimum when coming up with a fluctuated network flow. Thus, the traffic prediction with high-precision in cognitive networks is achieved. ? Dandan et al.