%0 Journal Article
%T Functional Network Learning Algorithm with Recursively Base Functions<br>基函数可递归的泛函神经元网络学习算法
%A XIAO Qian
%A ZHOU Yong-quan
%A CHEN Zhen
%A <br>肖倩
%A 周永权
%A 陈振
%J 计算机科学
%D 2013
%I 
%X By transforming the functional neuron,we proposed a functional network learning algorithm with recursively base functions. The algorithm uses a recursive method for solving matrix's pseudo-inverse to achieve adaptive adjustment of base functions in functional neural network, finally realizes the functional network structure and parameters of the optimal solution together. The experimental results show that the learning algorithm has adaptive, robustness and high accuracy of convergence, and will have broad application in real-time online identification.
%K Functional neuron
%K Base functions
%K Matrix's pseudo inverse
%K Learning algorithm<br>泛函神经元
%K 基函数
%K 矩阵伪逆
%K 学习算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=F2F3E0E822DEB5B23C9D09DBD7534942&yid=FF7AA908D58E97FA&vid=1371F55DA51B6E64&iid=CA4FD0336C81A37A&sid=38685BC770C663F2&eid=334E2BB8B9A55ABB&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0