BIPOLAR OPTICAL NEURAL NETWORKS USING FERROELECTRIC LIQUID-CRYSTAL DEVICES

被引：12

作者：

GOMES, CM

SEKINE, H

YAMAZAKI, T

KOBAYASHI, S

机构：

来源：

NEURAL NETWORKS | 1992年 / 5卷 / 01期

关键词：

FERROELECTRIC LIQUID CRYSTALS; SPONTANEOUS POLARIZATION; BIREFRINGENCE; BISTABILITY; RETARDATION; HEBBIAN RULE; BIPOLAR NEURAL NETWORKS; PATTERN RECOGNITION;

D O I：

10.1016/S0893-6080(05)80016-4

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Ferroelectric Liquid Crystal (FLC) electrooptic devices present some characteristics that make them attractive for the optical implementation of neural computers: high response speed and bistability, or intrinsic memory capability. Herein we will demonstrate how the electrooptic bistability of FLC materials can be used to implement bipolar optical neural networks, based on simple FLC cells that act as the neurons and as the interconnections among them.

引用

页码：169 / 177

页数：9

共 5 条

[1]

ACKLEY DH, 1985, COGNITIVE SCI, V9, P147

[2] OPTICAL IMPLEMENTATION OF THE HOPFIELD MODEL [J].