%0 Journal Article
%T Neural network for global optimization<br>全局优化的神经网络方法
%A ZHAO Hua-min
%A CHEN Kai-zhou
%A <br>赵华敏
%A 陈开周
%J 控制理论与应用
%D 2002
%I 
%X A neural network model for solving global optimization problems is proposed. The convergence and feasibility of the model are analyzed. Then an algorithm is provided. It is strictly proved that for an arbitrarily given initial point of an optimization problem, the algorithm converges to a global minimizer of the problem. Finally, simulation results are presented to \{illustrate\} the effectiveness of the algorithm.
%K global optimization
%K neural network
%K convergence
%K descent point<br>全局优化
%K 神经网络
%K 收敛性
%K 下降点
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=95E45916E9930345&yid=C3ACC247184A22C1&vid=2A8D03AD8076A2E3&iid=B31275AF3241DB2D&sid=8A03DD854A27B60D&eid=E0FF0FB27B45F84E&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=3&reference_num=7