An adaptive sparse distributed memory

被引：0
|
作者：
Aguilar, JL [1 ]
机构：
[1] Univ Los Andes, Fac Ingn, CEMISID, Dpto Computac, Merida, Venezuela
来源：
PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2003, VOLS 1-4 | 2003年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Sparse Distributed Memory is a content addressable, associative memory technique which relies on close memory items tending to be clustered together, with some abstraction and blurring of details. This paper discusses the limitations of the original model. Then, we propose a method which improve Sparse Distributed Memory efficiency through an adaptive threshold. The results obtained are good and promising.
引用
收藏
页码：2197 / 2201
页数：5
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