%0 Journal Article
%T A novel learning algorithm for RBF network based on Kalman filter and fuzzy control<br>一种基于卡尔曼滤波和模糊控制的RBF神经网络新型学习算法
%A WANG Jun
%A ZHU Li
%A CAI Zhi-hua
%A <br>王君
%A 蔡之华
%A 朱莉
%J 计算机应用
%D 2006
%I 
%X A novel training algorithm for RBF(Radical Basis Function) networks was proposed based on extended Kalman filter and fuzzy control.The simulation results were presented on RBF networks as applied to the Iris classification problem.It is shown that the use of the extended Kalman filter and fuzzy control results in faster learning and higher precision of identification than conventional RBF networks.
%K Kalman filter
%K fuzzy control
%K RBF networks<br>Kalman滤波
%K 模糊控制
%K RBF神经网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=AB3CCF51A0D7BFD2&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=DF92D298D3FF1E6E&sid=19519743553AEE80&eid=FC8D65835446970D&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=11