Applying Hopfield neural networkto QoSroutingin communication network  

作　　者：HOU Jian SHEN Jin-yuan CHANG Sheng-jiang ZHANG Yan-xin 

机构地区：[1]College of Information Engineering, Zhengzhou University, Zhengzhou 450052, P. R. China [2]Institute of Modern Optics, Nankai University, Tianjin 300071, P. R. China

出　　处：《Optoelectronics Letters》2005年第3期217-220,共4页光电子快报（英文版）

基　　金：This workis supported by National Natural Science Foundationof China ( No.60277022) ;Outstanding Youth Foundation ofHenan Province , Natural Science Foundation of Tianjin( No.023800811) ;the Research Fund for the Doctoral Program ofHigher education(No.20030055022) ;The Project-sponsored bySRFfor ROCS,SEM.

摘　　要：The main goal of routing solutions is to satisfy the requirements of the Quality of Service (QoS) for every admitted connection as well as to achieve a global efficiency in resource utilization.In this paper proposes a solution based on Hopfield neural network (HNN) to deal with one of representative routing problems in uni-cast routing,i.e.the multi-constrained(MC) routing problem.Computer simulation shows that we can obtain the optimal path very rapidly with our new Lyapunov energy functions.

关 键 词：通信网络 神经网络 邮件路由 网络安全 服务质量 

分 类 号：TN915[电子电信—通信与信息系统]