%0 Journal Article
%T PID Neural Network Control System Based on Improved Particle Swarm Optimization Algorithm<br>基于改进型粒子群算法的PID 神经网络控制系统
%A SHEN Xue-Li
%A XU Tao
%A <br>沈学利
%A 徐涛
%J 计算机系统应用
%D 2011
%I 
%X The traditional PID neural network(PIDNN) limited the scope of application and integration problems are difficult to obtain the error rule.For the realization of nonlinear multivariable control systems,neural network control system to expand the application range of this paper,based on improved version particle swarm optimization algorithm for PID neural network control system design solution,replacing the traditional BP back the propagation algorithm,simulation results show that compared with traditional P...
%K PID neural network
%K improved version particle swarm optimization algorithm
%K nonlinear control systems
%K stability
%K accuracy<br>PID神经网络
%K 改进型粒子群算法
%K 非线性控制系统
%K 稳定性
%K 精确性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=48687FEEF97E5861EFA2F3A286FAF30C&yid=9377ED8094509821&vid=A04140E723CB732E&iid=F3090AE9B60B7ED1&sid=28F8B56DB6BEE30E&eid=7C72DBC13F2D71EC&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=7