%0 Journal Article
%T A Highly Accurate Robust BP-fuzzy Reasoning System for Learning Combination<br>高精度RBP-模糊推理复合学习系统
%A Quan Taifan
%A <br>权太范
%J 自动化学报
%D 1995
%I 
%X A new accurately robust BP-fuzzy reasoning system for learning combination is proposed. This learning system is mainly constructed with a robust BP network with fuzzy reasoning which replaced robust estimation and mixed fuzzy reasoning. The main feature of this learning system is a simple algorithm constructed from the following three parts: RBP learning algorithm, max-min fuzzy reasoning and rain-max fuzzy reasoning. This learning system is applied to a target tracking problem. The results of test show that this tracking system is more accurate and more robust.
%K BP network
%K fuzzy reasoning
%K robust estimator
%K target tracking system<br>神经网络
%K 模糊推理
%K 学习系统
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=0CBCD514A4BC69C520E5C0466D57DA5A&yid=BBCD5003575B2B5F&vid=659D3B06EBF534A7&iid=E158A972A605785F&sid=5A735990D5DE8BF4&eid=87545994EC2C1F12&journal_id=0254-4156&journal_name=自动化学报&referenced_num=2&reference_num=4