OPTICAL IMPLEMENTATION OF LARGE-SCALE NEURAL NETWORKS USING A TIME-DIVISION-MULTIPLEXING TECHNIQUE

被引：8

作者：

OITA, M

OHTA, J

TAI, S

KYUMA, K

机构：

[1] Central Research Laboratory, Mitsubishi Electric Corporation, Tsukaguchi-Honmachi, Amagasaki, Hyogo, 661

来源：

OPTICS LETTERS | 1990年 / 15卷 / 04期

关键词：

D O I：

10.1364/OL.15.000227

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

A new architecture for optical implementation of large-scale neural networks is proposed. This architecture is based on a time-division-multiplexing technique, in which both the neuron state vector and the interconnection matrix are divided in the time domain. Computer simulation and experimental results for associative memories show the effectiveness in implementing large-scale networks. © 1990 Optical Society of America.

引用

页码：227 / 229

页数：3

共 9 条

[1]

ABUMOSTAFA YS, 1986, SCI AM, V256, P66

[2] EFFICIENT MATRIX PARTITIONING FOR OPTICAL COMPUTING [J].