Hardware Implementation Of An Artificial Neural Network

Ross A McClain; Charles H Rogers; William J.B Oldham

doi:10.1117/12.944095

3 May 1988 Hardware Implementation Of An Artificial Neural Network

Ross A McClain; Charles H Rogers; William J.B Oldham;

Author Affiliations +

Proceedings Volume 0882, Neural Network Models for Optical Computing; (1988) https://doi.org/10.1117/12.944095
Event: 1988 Los Angeles Symposium: O-E/LASE '88, 1988, Los Angeles, CA, United States

Abstract

A hardware implementation of a lightly connected artificial neural network known as the Hogg-Huberman model (1) (2) is described. The hardware is built around NCR's Geometric Arithmetic Parallel Processor (GAPP) chip. A large perfor-mance gain is shown between this implementation and a simulation done in FORTRAN on a VAX 11/780. Even though the direct processor to processor communications are limited to nearest neighbors, models which require other connections can be implemented with this hardware.

Citation Download Citation

Ross A McClain, Charles H Rogers, William J.B Oldham, "Hardware Implementation Of An Artificial Neural Network", Proc. SPIE 0882, Neural Network Models for Optical Computing, (3 May 1988); doi: 10.1117/12.944095; https://doi.org/10.1117/12.944095

ACCESS THE FULL ARTICLE

PERSONAL SIGN IN
Full access may be available with your subscription

Email or Username Forgot your username?

Password Forgot your password?

Show

Remember Email/Username on this computer

Remember Password

No SPIE account? Create an account
or Institutional Sign In via Shibboleth

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

Members: $14.40

Non-members: $18.00 ADD TO CART

Show All Keywords

Keywords/Phrases

Search In:

Publication Years