%0 Journal Article
%T Identification of Nonlinear Systems Using Recurrent Neural Networks<br>非线性系统的回归网络辨识(英文)
%A REN Xue-mei
%A <br>任雪梅
%J 控制理论与应用
%D 2001
%I 
%X This paper proposes a new type of recurrent neural network for the identification of a class of unknown nonlinear system. It is proved that the proposed network with appropriate conditions can represent unknown input_output relationship of nonlinear systems. The dynamic backpropagation algorithm is employed to estimate the weights of both the feedforward and feedback connections in the networks. The proposed schemes have been successfully applied to modeling nonlinear plants.
%K recurrent neural network
%K dynamic backpropagation algorithm
%K system identification<br>回归网络
%K 动态反向传播算法
%K 系统辨识
%K 非线性系统
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=9C86D9FE9D7617A0&yid=14E7EF987E4155E6&vid=13553B2D12F347E8&iid=B31275AF3241DB2D&sid=ABE2D40B2765724E&eid=29C36F017AD88B64&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=2&reference_num=6