A Class of Continuous Level Neural Nets

Robert J. Marks II; Les E. Atlas; Kwan F. Cheung

doi:10.1117/12.967138

1 January 1987 A Class of Continuous Level Neural Nets

Robert J. Marks II, Les E. Atlas, Kwan F. Cheung

Proceedings Volume 0813, Optics and the Information Age; (1987) https://doi.org/10.1117/12.967138
Event: 14th Congress of the International Commission for Optics, 1987, Quebec, Canada

Abstract

A neural net capable of restoring continuous level library vectors from memory is considered. The vectors in the memory library are used to program the neural interconnects. Given a portion of one of the library vectors, the net extrapolates the remainder. Sufficient conditions for unique convergence are stated. An architecture for optical implementation of the network is proposed.

Citation Download Citation

Robert J. Marks II, Les E. Atlas, and Kwan F. Cheung "A Class of Continuous Level Neural Nets", Proc. SPIE 0813, Optics and the Information Age, (1 January 1987); https://doi.org/10.1117/12.967138

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available