%0 Journal Article
%T Improved B-Spline Fuzzy Neural Networks<br>改进型B样条模糊神经网络
%A CONG Shuang
%A SONG Rui-xiang
%A QIAN Zhen
%A WEI Heng-hua
%A <br>丛 爽
%A 宋瑞祥
%A 钱 镇
%A 魏衡华
%J 控制理论与应用
%D 2001
%I 
%X The paper proposes an improved B spline fuzzy neural network, which may be used to increase the ability of resisting disturbances when it is as a fuzzy neural network control in the actual applications. The paper proposes the effective ways in order to overcome the shortages in the construction of B spline fuzzy membership functions, which both satisfactory the properties of B spline itself, and also avoid factors of system instability from the theory design point. The actual motor velocity control system experiment has verified the effectiveness and the practicality. The paper gives the design procedure and the experiment results of the improved B spline networks.
%K spline function
%K fuzzy neural network
%K adaptive control<br>样条函数
%K 模糊神经网络
%K 自适应控制
%K 改进型B样条
%K 电机
%K 速度控制系统
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=E6C8C6579FD411FF&yid=14E7EF987E4155E6&vid=13553B2D12F347E8&iid=0B39A22176CE99FB&sid=CAA7BAE04CB631A1&eid=5D8C08279A19B0D4&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=6&reference_num=5