%0 Journal Article
%T Constructive neuron networks classification algorithm based on bionic pattern recognition<br>基于仿生模式识别的构造型神经网络分类方法
%A CHEN Qi-mai
%A ZHOU Hai-qing
%A <br>陈启买
%A 周海晴
%J 计算机应用研究
%D 2009
%I 
%X This paper introduced the theory of bionic pattern recognition into neural networks classification,Firstly from geometric significance of the BP neuron model and the RBF neuron model,proposed a new constructive neuron networks classification algorithm based on bionic pattern recognition.Then covered high dimensional geometrical distribution of the sample set in the feature space by constructing a new type of ANN.Finally,the test proves that the algorithm is very effective.
%K bionic pattern recognition
%K neuron
%K constructive neural networks
%K high dimensional
%K classification<br>仿生模式识别
%K 神经元
%K 构造型神经网络
%K 高维空间
%K 分类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=12704B6179FF8AED545BEA6C54B564C0&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=9CF7A0430CBB2DFD&sid=E5EF7C6971A42650&eid=0274106CA1297BF1&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=1&reference_num=12