%0 Journal Article
%T Intrusion detection system based on spline neural network<br>基于样条权函数神经网络的入侵检测*
%A LU Hui-bin
%A WANG Qian
%A <br>卢辉斌
%A 王倩
%J 计算机应用研究
%D 2009
%I 
%X Proposed a new model to adviod the flaw of popular intrusion detection system(IDS).The network's topology is very simple and the number of neuron needed for solving the problem under investigation is independent of the number of patterns.The trained weights consist of cubic spline functions,in sfeed of a constant like the popular learning algorithm such as backbpropagation(BP) or radial basis function network.The model overcomes some flaws of popular learning algorithm such as local minima,slow convergence ...
%K cubic spline functioficial
%K neural network
%K intrusion detection<br>样条权函数
%K 神经网络
%K 入侵检测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=94C0C066B9EB9363FA6741256DC893BA&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=0B39A22176CE99FB&sid=A6683C8C0EB9BCA7&eid=0A0BD3F594F876C0&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10