%0 Journal Article
%T GENERALIZATION STUDY FOR A ROBUST ESTIMATION METHOD OF NEURAL NETS<br>一种神经网络稳健估计方法的推广性研究
%A Liu Guangyuan
%A Liao Xiaofeng
%A Yu Juebang
%A Qiu Yuhui
%A <br>刘光远
%A 廖晓峰
%A 虞厥邦
%A 邱玉辉
%J 电子与信息学报
%D 1999
%I 
%X In this paper, the Cauchy function is taken as a new target function of neural network accordings to the robustness theorem of statistics. Under the same network parameter conditions the BP net is trained using both mean squares and Cauchy target function first, then the net is tested by data sets including small Gaussian noises and outliers separately. Simulation results indicate that the network has both faster convergence speed and better performance against outliers after learning with robust target function.
%K Robust estimator
%K BP nets
%K Target function
%K Outliers<br>稳健误差估计器
%K BP算法
%K 目标函数
%K 异常值
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=9FFDC3B9C88329082B1123287301DEDF&yid=B914830F5B1D1078&vid=659D3B06EBF534A7&iid=CA4FD0336C81A37A&sid=1F199509C0B6C4D6&eid=6DE26652A1045643&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=1&reference_num=8