%0 Journal Article
%T Design Multilayer Feed-forward Networks Based on Immune Evolutionary Programming<br>基于免疫进化规划的多层前馈网络设计
%A CAO Xian-bin
%A LIU Ke-sheng
%A WANG Xu-fa
%A <br>曹先彬
%A 刘克胜
%A 王煦法
%J 软件学报
%D 1999
%I 
%X The authors use an immune evolutionary programming to design multilayer feed-forward networks in this paper. The immune evolutionary programming retains the ability of stochastic global searching of traditional evolutionary programming, and draws into the interaction mechanism based on density and the diversity maintaining mechanism which exists in living beings' immune procedure. The immune evolutionary programming has better global convergence and very strong self-adaptive ability with enviornment. The experimental results prove the high efficiency of the immune evolutionary programming in designing neural networks.
%K Evolutionary programming
%K premature convergence
%K immune
%K density
%K diversity maintain<br>进化规划
%K 未成熟收敛
%K 免疫
%K 浓度
%K 多样性保持
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=23B003E90D2AC74BFFDDA8C20831CE60&yid=B914830F5B1D1078&vid=F3090AE9B60B7ED1&iid=708DD6B15D2464E8&sid=334C32317477C964&eid=01A9864A3FFB986F&journal_id=1000-9825&journal_name=软件学报&referenced_num=11&reference_num=11