STATISTICAL-MECHANICS OF A HOPFIELD NEURAL-NETWORK MODEL IN A TRANSVERSE FIELD

被引：10

作者：

MA, YQ

ZHANG, YM

MA, YG

GONG, CD

机构：

[1] NANJING UNIV,DEPT PHYS,NANJING 210008,PEOPLES R CHINA

[2] NANJING MED COLL,DEPT PHYS,NANJING 210029,PEOPLES R CHINA

[3] ACAD SINICA,INST NUCL RES,SHANGHAI 201800,PEOPLES R CHINA

来源：

PHYSICAL REVIEW E | 1993年 / 47卷 / 06期

关键词：

D O I：

10.1103/PhysRevE.47.3985

中图分类号：

O35 [流体力学]; O53 [等离子体物理学];

学科分类号：

070204 ; 080103 ; 080704 ;

摘要：

We construct a soluble model to describe the retrieval properties of the quantum transverse Hopfield model in neural networks. A set of equations for the order parameters describing retrieval and spin-glass phases of the Hopfield model in a transverse field are obtained. Based on these equations, phase diagrams are examined and the memory storage capacity of the networks is analyzed as a function of the temperature and transverse field.

引用

页码：3985 / 3987

页数：3

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