Accession Number : AD0666898

Title :   AN ADAPTIVE MULTICATEGORY PATTERN CLASSIFICATION SYSTEM.

Descriptive Note : Technical rept.,

Corporate Author : TEXAS UNIV AUSTIN LABS FOR ELECTRONICS AND RELATED SCIENCE RESEARCH

Personal Author(s) : Pitt,James Michael ; Womack,B. F.

Report Date : 22 JAN 1968

Pagination or Media Count : 106

Abstract : An adaptive, multicategory, pattern classification system for classifying statistical patterns is formulated. The system finds application in those instances when the probability densities and a priori probabilities of occurrence of the classes are unknown. The convergence rate and other special properties of the system are examined, including the special case where the expected loss due to misclassification by the system tends to the minimum expected loss which results when using the Bayes discriminant functions. In addition, a simulation of the system for a three-category problem using quadratic discriminant functions is presented. (Author)

Descriptors :   (*PATTERN RECOGNITION, ADAPTIVE SYSTEMS), (*DECISION THEORY, PATTERN RECOGNITION), CLASSIFICATION, RANDOM VARIABLES, STATISTICAL ANALYSIS, MATRICES(MATHEMATICS), CONVERGENCE, SEQUENCES(MATHEMATICS), PROBABILITY, FUNCTIONAL ANALYSIS, THEOREMS

Subject Categories : Cybernetics
      Bionics

Distribution Statement : APPROVED FOR PUBLIC RELEASE