STORING PATTERNS IN A SPIN-GLASS MODEL OF NEURAL NETWORKS NEAR SATURATION

被引：5

作者：

GRENSING, D ^{[1
]}

KUHN, R ^{[1
]}

VANHEMMEN, JL ^{[1
]}

机构：

[1] UNIV HEIDELBERG,BEREICH SONDERFORSCH 123,D-6900 HEIDELBERG,FED REP GER

来源：

JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL | 1987年 / 20卷 / 10期

关键词：

D O I：

10.1088/0305-4470/20/10/036

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

引用

页码：2935 / 2947

页数：13

共 20 条

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[5] THE STATISTICAL PROPERTIES OF THE HOPFIELD MODEL OF MEMORY
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[6] NEURONS WITH GRADED RESPONSE HAVE COLLECTIVE COMPUTATIONAL PROPERTIES LIKE THOSE OF 2-STATE NEURONS
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[J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA-BIOLOGICAL SCIENCES, 1984, 81 (10): : 3088 - 3092
[7] NEURAL NETWORKS AND PHYSICAL SYSTEMS WITH EMERGENT COLLECTIVE COMPUTATIONAL ABILITIES
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[J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA-BIOLOGICAL SCIENCES, 1982, 79 (08): : 2554 - 2558
[8] LEARNING AND PATTERN-RECOGNITION IN SPIN-GLASS MODELS
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[J]. ZEITSCHRIFT FUR PHYSIK B-CONDENSED MATTER, 1985, 60 (2-4): : 205 - 213
[9] LITTLE W A, 1974, Mathematical Biosciences, V19, P101, DOI 10.1016/0025-5564(74)90031-5
[10] SOLVABLE MODELS OF WORKING MEMORIES
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[J]. JOURNAL DE PHYSIQUE, 1986, 47 (09): : 1457 - 1462

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