%0 Journal Article
%T Training method of process neural networks based on hybrid quantum genetic algorithm<br>基于混合量子遗传算法的过程神经元网络训练
%A LIU Zhi-gang
%A XU Shao-hua
%A <br>刘志刚
%A 许少华
%J 计算机应用研究
%D 2009
%I 
%X Aiming at the problems that current learning algorithms of PNN were highly complex and sensitive to initial values,this paper presented a training method of PNN based on hybrid quantum genetic algorithm.This method transformed the training of PNN into the optimization solution of nonlinear equations,and used quantum bits to construct chromosomes which were coded with real number.Meanwhile,introduced was to implement local searching.The algorithm had the abilities of population search for quantum genetic alg...
%K process neural network (PNN)
%K training
%K learning algorithm
%K optimization solution
%K quantum genetic algorithm (QGA)
%K hybrid genetic algorithm
%K quasi-Newton method<br>过程神经元网络
%K 训练
%K 学习算法
%K 优化求解
%K 量子遗传算法
%K 混合遗传算法
%K 拟牛顿迭代法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=495E6B0FBE156A6BF298CFEE2C1BD4C8&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=5D311CA918CA9A03&sid=2E010CE1EA4F1424&eid=3355D1464296E4D7&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=9