Coordinated machine learning and decision support for situation awareness.

Draelos, Timothy John ; Zhang, Peng-Chu. ; Wunsch, Donald C. (University of Missouri, Rolla, MO) ; Seiffertt, John (University of Missouri, Rolla, MO) ; Conrad, Gregory N. ; Brannon, Nathan Gregory

关键词: MILITARY PERSONNEL;    DECISION MAKING;    ALGORITHMS;    LEARNING;    NEURAL NETWORKS;    PHYSICAL PROTECTION Knowledge management-Data processing.;    Research-Decision making.;    Decision support systems.;    Sensors-Da;   

DOI  :  10.2172/920460
RP-ID  :  SAND2007-6058
PID  :  OSTI ID: 920460
Others  :  TRN: US200818%%25

学科分类：自然科学（综合）

美国|英语

来源: SciTech Connect

【 摘 要 】

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.