%0 Journal Article
%T Channel Assignment Strategy in Mobile Communication Based on Chaos Neural Network<br>基于混沌神经网络的移动通信信道分配方法研究
%A Zhu ZhiYu
%A Jiang ChangSheng
%A <br>朱志宇
%A 姜长生
%J 电子与信息学报
%D 2005
%I 
%X Chaos Neural Network(CNN)is applied to solve channel assignment problem in this paper. Energy function expression of channel assignment as well as mathematic model of CNN are put forward. Lyapunov exponent is calculated to judge whether there is chaos in CNN, and the influence on chaos characteristic caused by parameters of CNN model is discussed, then channel assignment algorithm based on CNN is proposed. Simulation results indicate that CNN has stronger ability to search global optimal solution and quicker convergence speed than Hopfield network, for its complicated transient chaos characteristic.
%K Chaos Neural Network(CNN)
%K Hopfield neural network
%K Chaos fork
%K Channel assignment<br>混沌神经网络
%K Hopfield神经网络
%K 混沌分岔
%K 信道分配
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=1E6E0B6140AACF54&yid=2DD7160C83D0ACED&vid=DB817633AA4F79B9&iid=9CF7A0430CBB2DFD&sid=563A479A59477CAE&eid=71F658B36F902583&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=9