Accession Number : AD0695413

Title :   DECISION MAKING NETWORKS IN PATTERN RECOGNITION,

Corporate Author : COLUMBIA UNIV DOBBS FERRY N Y HUDSON LABS

Personal Author(s) : Grantner,Leonard J.

Report Date : APR 1969

Pagination or Media Count : 25

Abstract : A feed forward switching network is described and then used as a basis for a pattern classifier. Rules associated with the network direct an arbitrary signal from a starting node to one of a group of terminal nodes, each of which is identified with a pattern class. The empirical distribution functions of a training set of pattern samples determine the manner in which the rules are constructed. The rules are functions of the input pattern binary variables. It is shown that, for a class of networks having the ordering property and statistically ordered rules at each node, increasing the size of the network decreases the probability of error. (Author)

Descriptors :   (*PATTERN RECOGNITION, ELECTRICAL NETWORKS), DECISION MAKING, SWITCHING CIRCUITS, ERRORS, CLASSIFICATION, DISTRIBUTION FUNCTIONS

Subject Categories : Bionics

Distribution Statement : APPROVED FOR PUBLIC RELEASE