Neural Information Processing and Self-organizing Maps as a Tool in Safeguards Storage Facilities

Year
1993
Author(s)
J.A. Howell - Los Alamos National Laboratory
C. Fuyat - Los Alamos National Laboratory
Abstract
Storage facilities for nuclear materials and weapons dismantlement facilities could have a large number of sensors with the potential for generating large amounts of data. Because of the anticipated complexity and diversity of the data, efficient automatic algorithms are necessary to make interpretations and ensure secure and safe operation. New, advanced safeguards systems are needed to process the information gathered from monitors and make interpretations that are in the best interests of the facility or agency. In this paper we present a conceptual design for software to assist with processing these large quantities of data from storage facilities.