"In this study the Bayes likelihood detector is combined with an adaptive decision threshold classifier to solve the multicategory pattern recognition problem. It is assumed that the pattern classes can be represented by an n-dimensional vector sample taken from a multivariate gaussian probability distribution. This study presents (1) the derivation of the A̲daptive H̲ypersphere D̲ecision T̲hreshold classifier (AHDT classifier) and shows (2) how the AHDT classifier minimizes the probability of error using the learning patterns. Finally the AHDT classifier is applied to the solution of a physical problem through computer simulation"--Abstract, page ii.
Kern, Frank J.
Bertnolli, Edward C.
Antle, Charles E.
Electrical and Computer Engineering
M.S. in Electrical Engineering
University of Missouri at Rolla
xi, 104 pages
© 1968 Darroll S. McCormack, All rights reserved.
Thesis - Open Access
Library of Congress Subject Headings
Adaptive control systems
Pattern recognition systems
Print OCLC #
Electronic OCLC #
Link to Catalog Recordhttp://laurel.lso.missouri.edu/record=b1067642~S5
McCormack, Darroll Steven, "A method of supervised pattern recognition by an adaptive hypersphere decision threshold" (1968). Masters Theses. 5190.