Coordinated machine learning and decision support for situation awareness.

Technical Report · Sat Sep 01 04:00:00 EDT 2007

DOI:https://doi.org/10.2172/920460· OSTI ID:920460

Draelos, Timothy John; Zhang, Peng-Chu; Wunsch, Donald C ^[1]; Seiffertt, John ^[1]; Conrad, Gregory N; Brannon, Nathan Gregory

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1. University of Missouri, Rolla, MO

For applications such as force protection, an effective decision maker needs to maintain an unambiguous grasp of the environment. Opportunities exist to leverage computational mechanisms for the adaptive fusion of diverse information sources. The current research employs neural networks and Markov chains to process information from sources including sensors, weather data, and law enforcement. Furthermore, the system operator's input is used as a point of reference for the machine learning algorithms. More detailed features of the approach are provided, along with an example force protection scenario.

• Research Organization: Sandia National Laboratories
• Sponsoring Organization: USDOE
• DOE Contract Number: AC04-94AL85000
• OSTI ID: 920460
• Report Number(s): SAND2007-6058
• Country of Publication: United States
• Language: English

Related Subjects

45 MILITARY TECHNOLOGY, WEAPONRY, AND NATIONAL DEFENSE
ALGORITHMS
DECISION MAKING
Decision support systems.
Knowledge management-Data processing.
LEARNING
MILITARY PERSONNEL
NEURAL NETWORKS
PHYSICAL PROTECTION
Research-Decision making.
Sensors-Data processing.
Statistical decision.