Accession Number:

AD0460517

Title:

GRAPHICAL DATA PROCESSING RESEARCH STUDY AND EXPERIMENTAL INVESTIGATION.

Descriptive Note:

Rept. no. 12 (Final) 1 Apr 60-31 May 63,

Corporate Author:

STANFORD RESEARCH INST MENLO PARK CA

Personal Author(s):

Report Date:

1963-06-01

Pagination or Media Count:

43.0

Abstract:

A small experimental learning MINOS I was developed in order to evaluate the feasibility of this type of machine for categorizing graphical data from maps, charts and aerial photographs. A much larger machine, MINOS II, has recently been constructed, including an optical preprocessor which provides a good match between the raw data and thelearning machine. Three rationales governing the design of masks for the preprocessor are discussed the preprocessor is seen as performing operations special to the problem being considered, whereas the learning machine is a general categorizer. Learning machines make use of a component not in common use, a device to store an analog number, which may be read-out nondestructively as an analog level. Several types of magnetic weight have been investigated. MINOS II uses a magnetic weight with second-harmonic read-out. Competitive weights use multiaperture magnetic cores, and magnetostrictive delay lines. The learning machine contains two layers of threshold logic. The first layer contains 66 association-units wire 100 input lines there are 6732 weights in the first layer-the extras are for threshold levels. Training is by majority-rule logic, implemented automatically input signals may be either 1,-1, 1,0, or 1,0,-1. The output code may be either 6 or 9 bits, with arbitrary selection of categories. Author

Subject Categories:

Distribution Statement:

APPROVED FOR PUBLIC RELEASE