%0 Journal Article
%T A New Algorithm Based on the Improved Transient Chaotic Neural Network for Cellular Channel Assignment<br>一种基于改进暂态混沌神经网络的信道分配算法
%A Zhu Xiao-jin
%A Chen Yan-chun
%A Ma Shi-wei
%A Qin Ting-gao
%A <br>朱晓锦
%A 陈艳春
%A 马世伟
%A 秦霆镐
%J 电子与信息学报
%D 2007
%I 
%X In this paper,the Transient Chaotic Neural Network(TCNN)is used to solve the Channel Assignment Problem(CAP),and a new method named two-stage annealing method in TCNN is proposed.The neural network gradually convergences,through the transient chaos,to a stable eqnilibrium point according to the damping of the self-feedback connection weight,and the dividing point in the new model is chosen according to the change of the corresponding Lyapunov exponent.The two-stage annealing method can make sure the network take good advantage of the chaos to search the global minimum and enhance the convergence rate.In the 7-cell cellular network,the convergence rate is 30% higher than the TCNN model,and is also upgraded 15% in the Kunz's benchmark test.Simulated results show that the new model has a higher searching ability and lower computing time in searching the global minimum.The searching ability and the choosing of the parameters are also discussed based on the simulated results.
%K Chaotic neural network
%K Hopfield neural network
%K Simulated annealing
%K Chaotic noise
%K Channel assignment problem (CAP)<br>混沌神经网络
%K Hopfield神经网络
%K 模拟退火
%K 混沌噪声
%K 信道分配问题
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=B09D332C2E7DF51B&yid=A732AF04DDA03BB3&vid=771469D9D58C34FF&iid=9CF7A0430CBB2DFD&sid=13DBB7F2E4FCEC67&eid=E20ADC2E24431823&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=11