STABILITY PROPERTIES OF POTTS NEURAL NETWORKS WITH BIASED PATTERNS AND LOW LOADING

被引：35

作者：

BOLLE, D

DUPONT, P

VANMOURIK, J

机构：

[1] Inst. voor Theor. Fysica, Leuven Univ.

来源：

JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL | 1991年 / 24卷 / 05期

关键词：

D O I：

10.1088/0305-4470/24/5/021

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

The q-state Potts glass model of neural networks is extended to include biased patterns. For a finite number of such patterns, the existence and stability properties of the Mattis states and symmetric states are discussed in detail as a function of the bias. Analytic results are presented for all q at zero temperature. For finite temperatures numerical results are obtained for q = 3 and two classes of representative bias parameters. A comparison is made with the Hopfield model.

引用

页码：1065 / 1081

页数：17

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