%0 Journal Article
%T Survey of current progress in random neural network<br>随机神经网络发展现状综述
%A CONG Shuang
%A WANG Yi-wen
%A <br>丛　爽
%A 王怡雯
%J 控制理论与应用
%D 2004
%I 
%X Random neural network (RNN) is a special kind of artificial neural network,which is developed recently and has its own peculiarities on the structure,the learning algorithm,the state-updating rule and the applications.As a biological neural mathematical model,RNN has particular advantages of associative memory,image processing and combinatorial optimization.The current progress,the characteristics and the broad applications are elaborated in this paper.The applications on the combinatorial optimization problems solved by different networks such as Hopfield network,simulated annealing algorithm,Boltzmann machine and RNN are analyzed and contrasted.RNN is pointed out to be an effective approach to travelling saleman problem (TSP).
%K random neural network(RNN)
%K Hopfield network
%K simulated annealing algorithm
%K Boltzmann machine
%K combinatorial optimization<br>随机神经网络(RNN)
%K Hopfield网络
%K 模拟退火算法
%K Boltzmann机
%K 组合优化问题
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=AD49E303D9FCA08D&yid=D0E58B75BFD8E51C&vid=659D3B06EBF534A7&iid=B31275AF3241DB2D&sid=997CCAFE43D4D200&eid=724110922AF7E025&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=4&reference_num=21