%0 Journal Article
%T Accelerating of Artificial Neural Network Training by GPU with OpenCL Support<br>支持OpenCL 的GPU 加速人工神经网络训练
%A ZHU Wei-Hua
%A FU Xian-Jun
%A <br>祝伟华
%A 付先珺
%J 计算机系统应用
%D 2011
%I 
%X The computation quantity in artificial neural network training will get more and more with the increase of neurons quantity,it is time-consuming for training a neural network with too many neurons.A method that accelerates artificial neural network training is to optimize the training algorithm,so as to reduce the computation quantity.Since there is too much matrix and vector computation in artificial neural network training algorithm,the optimized training algorithm implemented by OpenCL C language on GPU,...
%K accelerating
%K artificial neural network
%K RPROP
%K OpenCL
%K GPU<br>加速
%K 人工神经网络
%K RPROP
%K OpenCL
%K CPU
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=E78B2DC5A1D4B0FCFAD5C7104258C70F&yid=9377ED8094509821&vid=A04140E723CB732E&iid=DF92D298D3FF1E6E&sid=F9F74EC1AA08A7B9&eid=1D67BE204FBF4800&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=6