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

Reversal-input superposing technique for all-optical neural networks

Not Accessible

Your library or personal account may give you access

Abstract

The proposed technique for optical neural networks can perform all the neural operations in a positive range. Bipolar weights of the neurons are represented by unipolar weights with a positive constant. By superposing the reversal inputs to the weighted sums, we can perform subtraction in a neuron by the nonlinear output function with a negative offset constant. This means that the number of processing elements needed in the proposed system is the same as that of neurons in the original neural network model. An experimental neural system is demonstrated for verification of this technique. The Hopfield model is adapted as an example of the neural networks implemented in the experimental neural system.

© 1994 Optical Society of America

Full Article  |  PDF Article
More Like This
Subtracting incoherent optical neuron model: analysis, experiment, and applications

Chein-Hsun Wang and B. Keith Jenkins
Appl. Opt. 29(14) 2171-2186 (1990)

Design and analysis of fixed planar holographic interconnects for optical neural networks

Paul E. Keller and Arthur F. Gmitro
Appl. Opt. 31(26) 5517-5526 (1992)

Optical neural network using vector-feature extraction

Yasunori Kuratomi, Akio Takimoto, Koji Akiyama, and Hisahito Ogawa
Appl. Opt. 32(29) 5750-5758 (1993)

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 (8)

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 (19)

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