Overlapping decompositions in the design of associative memories

被引：0

作者：

Akar, M

Sezer, ME

机构：

来源：

1997 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS 1-4 | 1997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：

This paper is concerned with the design of neural networks to be used as associative memories. The idea of overlapping decompositions, which is extensively used in the solution of large-scale problems as a method of reducing the computational work, is applied to discrete-time neural networks with binary neurons. It is shown that if the desired memory matrix accepts a suitable overlapping decomposition, then the problem can be solved by synthesizing a number of smaller networks independently. The concept is illustrated with two examples.

引用

页码：1199 / 1204

页数：6

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