%0 Journal Article
%T A New Learning Algorithm Based on Technique Appended Samples<br>神经网络学习中"附加样本"的技术
%A ZHANG Ling
%A ZHANG Bo
%A <br>张　铃
%A 张　钹
%J 软件学报
%D 1998
%I 
%X A new learning algorithm of neural network, called technique of appended samples, is proposed in this paper, which well combines a priori knowledge with the training samples knowledge to design a neural network. Its complexity is just polynomial O(n4)). This new method can be used in designing a better performance of neural network. This article is structured as follows: the FP algorithm and the cover algorithm based on FP algorithm are introduced in the section 1. In the next section, the FP statistical technique of appended samples is provided. Finally, a design example is given to illustrate the efficiency of new method.
%K Neural network
%K FP algorithm
%K technique of appended samples
%K minimum covering<br>神经网络
%K FP算法
%K 附加样本
%K 最小覆盖.
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=ECC5CBA1FCC51B13&yid=8CAA3A429E3EA654&vid=9CF7A0430CBB2DFD&iid=94C357A881DFC066&sid=23410D0BDB501DF5&eid=389106FB36CA8332&journal_id=1000-9825&journal_name=软件学报&referenced_num=5&reference_num=3