Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Coaxial architecture of an optical neural network with a lenslet array

Not Accessible

Your library or personal account may give you access

Abstract

A theoretical limitation on the neuron numbers (N × N) of a spatial interconnection system based on a lenslet array is analyzed. To improve the limitation, we propose a submatrix coaxial interconnection architecture. Off-axial aberration is decreased, and high light efficiency is achieved. A detailed analysis is given.

© 1994 Optical Society of America

Full Article  |  PDF Article
More Like This
Implementation of a large-scale optical neural network by use of a coaxial lenslet array for interconnection

Shengquan Gao, Jianwen Yang, Zhanbing Feng, and Yanxin Zhang
Appl. Opt. 36(20) 4779-4783 (1997)

Mirror-array optical interconnected neural network

Francis T. S. Yu, Xiangyang Yang, Shizhuo Yin, and Don A. Gregory
Opt. Lett. 16(20) 1602-1604 (1991)

Space–time-sharing optical neural network

Francis T. S. Yu, Xiangyang Yang, and Taiwei Lu
Opt. Lett. 16(4) 247-249 (1991)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (5)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (5)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.