%0 Journal Article
%T Prediction and Identification Algorithm Convergence of Parallel Fuzzy Systems<br>并行模糊系统的预测和辨识收敛性
%A 於东军
%A 杨静宇
%J 计算机科学
%D 2002
%I 
%X Fuzzy systems can be used to identify nonlinear dynamic systems in two modes. One is series-parallel modeand the other is parallel mode. The prediction and identification algorithm convergence of nonlinear dynamic system i-dentification using parallel fuzzy systems is discussed in this paper. It is proved that as long as the parameters of par-allel fuzzy systems meet some prerequisites, the parallel prediction procedure converges and the parallel identificationalgorithm locally converges. This conclusion has instructive significance for parallel fuzzy systems' application.
%K Fuzzy system
%K Parallel identification
%K Convergence
%K Nonlinear dynamic system<br>模糊集理论
%K 并行模糊系统
%K 预测
%K 系统辨识
%K 收敛性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=E59DD872D93D608B&yid=C3ACC247184A22C1&vid=771469D9D58C34FF&iid=59906B3B2830C2C5&sid=0584DB487B4581F4&eid=5BC9492E1D772407&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=9