%0 Journal Article
%T LEARNING ALGORITHM BASED ON THE SUPERPOSITION OF INFORMATION<br>基于信息叠加的学习算法
%A WANG Hai-Long
%A QI Fei-Hu
%A <br>王海龙
%A 戚飞虎
%J 红外与毫米波学报
%D 2000
%I Science Press
%X A new iterative learning algorithm based on the superposition of information was proposed. Because the prototype patterns of synergetic neural network (SNN) has the ability of superposition of information, the new algorithm can modify the prototype patterns using the pattern, of which the recognition rate is the lowest during training as the feedback. The test upon the samples from real environment shows that the new algorithm has the characteristic of strong ability of optimal searching and the shorteness of training time. Additionally, the comparison of training performance between the new algorithm and selection algorithm of prototype patterns based on genetic algorithm(SAPPGA) was made.
%K prototype pattern
%K order parameter
%K synergetic neural network(SNN)
%K genetic algorithm<br>协同神经网络
%K 遗传算法
%K 信息叠加
%K 学习算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=D3B4F771D1A06062008B4D0A2EF05996&aid=5414E70D61D5A700&yid=9806D0D4EAA9BED3&vid=2A8D03AD8076A2E3&iid=38B194292C032A66&sid=EF27C460877D3C9F&eid=3D9746C06EC12B45&journal_id=1001-9014&journal_name=红外与毫米波学报&referenced_num=6&reference_num=3