Accession Number:

AD0419094

Title:

PATTERN RECOGNITION WITH SELF-ORGANIZING MACHINES

Descriptive Note:

Corporate Author:

AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING

Personal Author(s):

Report Date:

1963-08-01

Pagination or Media Count:

101.0

Abstract:

Most of the pattern-recognition self-organizing machines can be classified as adjustable-weight threshold-logic machines, statistical-switching machines, or correlation machines. A noisy pattern is a pattern that varies slightly from a model pattern that the machine has been taught. Computer simulations of a typical machine from each of three classes indicate that the noisy pattern recognition capabilities are poor for statistical-switching machines, good for threshold-logic machines, best for correlation type machines. A proposed correlation self-organizing machine is simple, learns in one step, and recog nizes noisy patterns accurately.

Subject Categories:

  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE