%0 Journal Article
%T On Approximation by Neural and Translation Networks in B_a Spaces<br>B_a空间中神经网络和平移网络的逼近
%A ZHOU Guan-Zhen
%A <br>周观珍
%J 数学物理学报(A辑)
%D 2005
%I 
%X The characteristic theorem as well as the degree of approximating by neural networks and translation networks, with a single hidden layer in Bo spaces is established. The Favard type estimate is obtained as well. The correspondences of Orlicz spaces are given by one of the applications of Ba spaces.
%K Neural networks
%K Translation networks
%K Ba spaces
%K Approximation<br>神经网络
%K 平移网络
%K Ba空间
%K 逼近
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=37F46C35E03B4B86&jid=4DB553CDB5F521D8C921082E5C95EC80&aid=012A32686465D10E&yid=2DD7160C83D0ACED&vid=C5154311167311FE&iid=E158A972A605785F&sid=1FA4E9C3E6E88FC8&eid=39E48869A719B9DE&journal_id=1003-3998&journal_name=数学物理学报(A辑)&referenced_num=0&reference_num=17