Accession Number:

ADA179283

Title:

Evaluation of the Use of the Hopfield Neural Network Model as a Nearest-Neighbor Algorithm,

Descriptive Note:

Corporate Author:

CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF ELECTRICAL AND COMPUTER ENGINEERING

Personal Author(s):

Report Date:

1986-10-15

Pagination or Media Count:

9.0

Abstract:

Neural network models are receiving increasing attention because of their collective computational capabilities. This reprint evaluates the use of the Hopfield neural network model in optically determining the nearest-neighbor of a binary bipolar test vector from a set of binary bipolar reference vectors. The use of the Hopfield model is compared with that of a direct technique called direct storage nearest-neighbor that accomplishes the task of nearest-neighbor determination. Keywords optical pattern recognition.

Subject Categories:

  • Bionics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE