Accession Number : AD0611135
Title : PATTERN RECOGNITION AND INFORMATION PROCESSING.
Descriptive Note : Final rept.,
Corporate Author : MICHIGAN UNIV ANN ARBOR COLL OF LITERATURE SCIENCE AND THE ARTS
Personal Author(s) : Tanner,W. P. ,Jr.
Report Date : JAN 1965
Pagination or Media Count : 6
Abstract : In the area of machine learning, work was initiated in applying techniques developed by Medgyessy (1961) to unsupervised adaptive pattern recognition. Medgyessy's univariate techniques were extended to the multivariate normal case, and preliminary work was begun on devising techniques to handle approximations to such functions. Another research effort concerned the classification of information-processing systems with special attention to the measurement of information processing capacity. Another investigation was initiated in which it was proposed to study current flow in the central nervous system. The first phase of this study involved an investigation of the impedance of the dorsal columns of the spinal cord. The experimental method involved passing a low frequency, non-stimulating current from a small electrode on the dorsal columns in the cervical cord of the cat.
Descriptors : (*PATTERN RECOGNITION, ARTIFICIAL INTELLIGENCE), (*DATA PROCESSING, PATTERN RECOGNITION), FUNCTIONS(MATHEMATICS), BIONICS, CENTRAL NERVOUS SYSTEM, SPINAL CORD, CATS, ELECTRICAL PROPERTIES
Distribution Statement : APPROVED FOR PUBLIC RELEASE