%0 Journal Article
%T Fast self-organizing learning algorithm based on EKF for fuzzy neural network<br>基于EKF的模糊神经网络快速自组织学习算法*
%A ZHOU Shang-bo
%A LIU Yu-jiong
%A <br>周尚波
%A 柳玉炯
%J 计算机应用研究
%D 2010
%I 
%X To construct an effective fuzzy neural network, this paper presented a self-organizing learning algorithm based on extended Kalman filter for fuzzy neural network. In the algorithm, the network grew rules according to the proposed growing criteria without pruning, speeding up the online learning process.All the free parameters were updated by the extended Kalman filter approach and the robustness of the network was obviously enhanced. The simulation results show that the proposed algorithm can achieve fast learning speed, high approximation precision and generation capability.
%K fuzzy neural network
%K extended Kalman filter(EKF)
%K self-organizing learning<br>模糊神经网络
%K 扩展卡尔曼滤波
%K 自组织学习
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=7D26504EFB2EE80F160192733616D426&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=DF92D298D3FF1E6E&sid=8E0C39B4535F0285&eid=8C5000880BA36CC7&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=11