%0 Journal Article
%T A Controller Implemented by Recording the Fuzzy Rules by BP Neural Networks<br>采用BP神经网络记忆模糊规则的控制
%A Ying Xingren
%A Zeng Nan
%A <br>应行仁
%A 曾南
%J 自动化学报
%D 1991
%I 
%X A more natural way of using the human experiences than the fuzzy reasoning is provided in this paper. An abstract concept is expressed by a set of neurons with different exciting degrees. So, the abstract experience rules are transformed to the input-output samples of multi layer neural network, and these samples are recorded in the network by Back-Propagation algorithm. The controller utilizes these experiences according to associative memory. The design, simulation result, feature and further development of this controller are also discussed.
%K Neural network
%K intelligent control
%K back-propagation
%K fuzzy control<br>神经网络
%K 模糊规则
%K 记忆
%K 智能控制
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=DF195F50B90F7343FD7419E978D6ECC2&yid=116CB34717B0B183&vid=BCA2697F357F2001&iid=CA4FD0336C81A37A&sid=E84BBBDDD74F497C&eid=5D71B28100102720&journal_id=0254-4156&journal_name=自动化学报&referenced_num=28&reference_num=2