Hopfield neural network simulation on a massively parallel machine

被引：1
|
作者：
Domeika, MJ
Page, EW
机构：
[1] Department of Computer Science, Clemson University, Clemson
来源：
INFORMATION SCIENCES | 1996年 / 91卷 / 1-2期
关键词：
D O I：
10.1016/0020-0255(95)00184-0
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Single instruction stream, multiple data stream architectures are well suited fdr parallel neural network simulations. This paper presents two parallel Hopfield network simulations that execute on the Adaptive Solution, Inc. CNAPS architecture. Trial executions on an assignment problem demonstrate the potential of the approach for solving large scale problems.
引用
收藏
页码：133 / 145
页数：13
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