Accession Number : AD0666473

Title :   THEORETICAL FRAMEWORKS FOR PATTERN RECOGNITION PROBLEMS.

Descriptive Note : Final rept.,

Corporate Author : MICHIGAN UNIV ANN ARBOR DEPT OF PSYCHOLOGY

Personal Author(s) : Tanner,Wilson P. , Jr

Report Date : JUN 1967

Pagination or Media Count : 7

Abstract : This report summarizes several studies conducted on pattern recognition problems. One of these involved two problems of parametric statistics with a view to their application to nonsupervised pattern recognition. Another examined the question of the least costly word equivalent to a given word in the case in semigroups in which the equivalence relation is a two-sided congruence relation. A third continues a study of current flow in the central nervous system. The quantitative relationship between the parameter of stimulus current intensity and the anatomical characteristics of certain neural elements in the nervous system was examined. (Author)

Descriptors :   (*PATTERN RECOGNITION, SCIENTIFIC RESEARCH), BIONICS, STATISTICAL FUNCTIONS, LEARNING, CENTRAL NERVOUS SYSTEM, NERVE CELLS, STIMULATION(PHYSIOLOGY), INTEGRAL TRANSFORMS, ALGORITHMS, COMPUTER PROGRAMS

Subject Categories : Psychology
      Computer Programming and Software
      Bionics

Distribution Statement : APPROVED FOR PUBLIC RELEASE