%0 Journal Article
%T A multiple input-queued ATM switching fabric based on hopfield neural network cell scheduling<br>基于Hopfield神经网络的信元调度多重输入队列ATM交换结构及算法
%A Xiong Tao
%A Zhang Bian-Li
%A Chang Sheng-Jiang
%A Shen Jin-Yuan
%A Zhang Yan-Xin
%A <br>熊涛
%A 张便利
%A 常胜江
%A 申金媛
%A 张延忻
%J 物理学报
%D 2005
%I 
%X A multiple input-queued ATM switching fabrics (ASF) for scheduling cell based on Hopfield neural network (HNN) is proposed. This scheme eliminates degeneration of performance due to head-of-line (HOL) blocking. Simulation results show that, compared with the single first in_first out and window input-queued ASF, the pr oposed approach can greatly improve the throughput and reduce the cell delay.
%K Hopfield neural network
%K ATM switching fabric
%K multiple input queues<br>Hopfield神经网络，
%K ATM交换结构，
%K 多重输入队列
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=29DF2CB55EF687E7EFA80DFD4B978260&aid=23AF1C3F9C0300BA&yid=2DD7160C83D0ACED&vid=318E4CC20AED4940&iid=94C357A881DFC066&sid=2B7B7A6D4D8D437A&eid=D90DDDDB24DD4AFF&journal_id=1000-3290&journal_name=物理学报&referenced_num=3&reference_num=13