PARALLEL DYNAMICS FOR AN EXTREMELY DILUTED NEURAL NETWORK

被引：10

作者：

PATRICK, AE ^{[1
]}

ZAGREBNOV, VA ^{[1
]}

机构：

[1] KATHOLIEKE UNIV LEUVEN,INST THEORET FYS,B-3001 LOUVAIN,BELGIUM

来源：

JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL | 1992年 / 25卷 / 04期

关键词：

D O I：

10.1088/0305-4470/25/4/034

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

We revise our formula for the main overlap evolution at t = 3 generated by the parallel dynamics in the symmetric extremely diluted neural network. We show that for t greater-than-or-equal-to 3 correlations between the Gaussian and the Bernoulli's 'memory-like' noises have to be taken into account. To derive the exact formula for t = 3 we use our previously developed truncated dynamics method.

引用

页码：1009 / 1011

页数：3

共 4 条

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[3] A PROBABILISTIC APPROACH TO PARALLEL DYNAMICS FOR THE LITTLE-HOPFIELD MODEL [J].

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[4] THE PARALLEL DYNAMICS OF A DILUTE SYMMETRICAL HEBB-RULE NETWORK [J].

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