%0 Journal Article
%T A FORWARD PROPAGATION LEARNING ALGORITHM OF MULTILAYERED NEURAL NETWORKS WITH FEEDBACK CONNECTIONS<br>多层反馈神经网络的FP学习和综合算法
%A ZHANG Ling
%A ZHANG Bo
%A <br>张铃
%A 张钹
%J 软件学报
%D 1997
%I 
%X A forward propagation learning algorithm(FP) of multilayered neural networks with feedback connections is presented in this paper. And the properties of cluster networks are discussed. A cluster with different grain sizes can be obtained by applying FP to cluster. Its convergent speed is just a linear function of sample size. Its computational complexity is a bilinear function of simple size and the dimension of imput vectors. The network constructed by the algorithm uses a comparatively fewer number of elements and its weight simply has one of three values, i.e., -1, 0, 1. Thus, it can be easily implemented into electronic circuits. The authors also discuss the properties of the network and show it is an ideal pattern classifier.
%K Multilayered neural network with feedback connections
%K learning algorithm
%K clustering<br>多层反馈神经网络
%K 学习算法
%K 聚类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=A98B124A2C19FA61BFC601717845AA7E&yid=5370399DC954B911&vid=5D311CA918CA9A03&iid=E158A972A605785F&sid=10828928EB89AD8E&eid=B799C1769FCACDC8&journal_id=1000-9825&journal_name=软件学报&referenced_num=20&reference_num=5