OPTICAL ASSOCIATIVE MEMORY MODEL BASED ON NEURAL NETWORKS HAVING VARIABLE INTERCONNECTION WEIGHTS

被引：14

作者：

MACUKOW, B ^{[1
]}

ARSENAULT, HH ^{[1
]}

机构：

[1] UNIV LAVAL, LROL, QUEBEC CITY G1K 7P4, QUEBEC, CANADA

来源：

APPLIED OPTICS | 1987年 / 26卷 / 05期

关键词：

D O I：

10.1364/AO.26.000924

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

引用

页码：924 / 928

页数：5

共 14 条

[1] Amari S, 1982, BIOMATHEMATICS CURRE, P159
[2] LEARNING PATTERNS AND PATTERN SEQUENCES BY SELF-ORGANIZING NETS OF THRESHOLD ELEMENTS
AMARI, SI
[J]. IEEE TRANSACTIONS ON COMPUTERS, 1972, C 21 (11) : 1197 - +
[3] ATHALE RA, 1984, P IEEE, V72, P931, DOI 10.1109/PROC.1984.12949
[4] OPTICAL IMPLEMENTATION OF THE HOPFIELD MODEL
FARHAT, NH
PSALTIS, D
PRATA, A
PAEK, E
[J]. APPLIED OPTICS, 1985, 24 (10): : 1469 - 1475
[5] GAWRONSKI R, 1971, BIONICS NERVOUS SYST
[6] FULLY PARALLEL, HIGH-SPEED INCOHERENT OPTICAL METHOD FOR PERFORMING DISCRETE FOURIER-TRANSFORMS
GOODMAN, JW
DIAS, AR
WOODY, LM
[J]. OPTICS LETTERS, 1978, 2 (01) : 1 - 3
[7] NEURONS WITH GRADED RESPONSE HAVE COLLECTIVE COMPUTATIONAL PROPERTIES LIKE THOSE OF 2-STATE NEURONS
HOPFIELD, JJ
[J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA-BIOLOGICAL SCIENCES, 1984, 81 (10): : 3088 - 3092
[8] NEURAL NETWORKS AND PHYSICAL SYSTEMS WITH EMERGENT COLLECTIVE COMPUTATIONAL ABILITIES
HOPFIELD, JJ
[J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA-BIOLOGICAL SCIENCES, 1982, 79 (08): : 2554 - 2558
[9] HYDEN H, 1966, NATURWISSENSCHAFTEN, P64
[10] MACUKOW B, IN PRESS BIOCYB BIOM