An exact learning algorithm for autoassociative neural networks with binary couplings

被引：4

作者：

Milde, G

Kobe, S

机构：

[1] Inst. für Theoretische Physik, Technische Universität Dresden

来源：

JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL | 1997年 / 30卷 / 07期

关键词：

D O I：

10.1088/0305-4470/30/7/016

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Exact solutions for the learning problem of autoassociative networks with binary couplings are determined by a new method. The use of a branch-and-bound algorithm leads to a substantial saving of computational time compared with complete enumeration. As a result, fully connected networks with up to 40 neurons could be investigated. The network capacity is found to be close to 0.83.

引用

页码：2349 / 2352

页数：4

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