On the capacity of an associative memory model based on neural cliques

被引：6

作者：

Heusel, Judith ^{[1
]}

Loewe, Matthias ^{[1
]}

Vermet, Franck ^{[2
]}

机构：

[1] Univ Munster, Fachbereich Math & Informat, D-48149 Munster, Germany

[2] Univ Bretagne Occidentale, UMR CNRS 6205, Math Lab, F-29238 Brest M, France

来源：

STATISTICS & PROBABILITY LETTERS | 2015年 / 106卷

关键词：

Neural networks; Associative memory; Exponential inequalities; HOPFIELD MODEL; STORAGE CAPACITY; NETWORKS; PATTERNS; BOUNDS;

D O I：

10.1016/j.spl.2015.07.026

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Based on recent work by Gripon and Berrou (2011), we introduce a new model of an associative memory. We give upper and lower bounds on the memory capacity of the model. (C) 2015 Elsevier B.V. All rights reserved.

引用

页码：256 / 261

页数：6

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