Accession Number:

AD0600079

Title:

A SIMPLE MODEL OF A PATTERN RECOGNITION SYSTEM.

Descriptive Note:

Technical note 1,

Corporate Author:

STANFORD RESEARCH INST MENLO PARK CALIF

Personal Author(s):

Report Date:

1964-04-01

Pagination or Media Count:

28.0

Abstract:

This model is to be used to demonstrate the functional structure of a learning machine or pattern recognition system that is similar in basic principle to the learning machine recently designed and constructed at SRI. In addition, the model shows the important role that mask design plays. A specific method for selecting efficient masks for this model, by computer simulation, is also presented. The model is a highly simplified and therefore not very close approximation to the learning machine, MINOS II. It can be expected to discriminate only among the three letters of the alphabet with which it has been trained. The paper model displays many of the fundamental features and logical-system design principles encountered in the full-scale machine, which is capable of performing tasks more interesting than recognizing three free-hand letters of the alphabet. The model exhibits the ability to distinguish between different classes discrimination, and to ignore variations within a class generalization, which are the basic properties of a pattern recognition system. Author

Subject Categories:

Distribution Statement:

APPROVED FOR PUBLIC RELEASE