Accession Number:

AD0637492

Title:

EVOLUTIONARY PATTERN RECOGNITION SYSTEMS.

Descriptive Note:

Scientific rept.

Corporate Author:

ILLINOIS UNIV CHICAGO DEPT OF INFORMATION ENGINEERING

Personal Author(s):

Report Date:

1965-11-01

Pagination or Media Count:

77.0

Abstract:

An adaptive network is proposed which is capable of self-organization on two levels a fundamental level involving the structure of the system and a secondary level involving a set of variable weights within the structure. The system was simulated on a digital computer and its behavior investigated for the purpose of developing evolutionary processes by which systems could adapt structurally to their environment. The system was studied, first, as a non-evolutionary network adaptation could occur only through variation of the weights. An empirical equation was established relating the structural parameters of this system to its capabilities. The evolutionary system, possessing the capability of structure modification, was then investigated. Several heuristics were developed which allowed the system to significantly improve its performance in a pattern recognition task through structure modification. Author

Subject Categories:

  • Bionics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE