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

Sandia National Laboratories

关键词: Decision Making;    Sensors-Data Processing.;    Knowledge Management-Data Processing.;    Statistical Decision.;    Decision Support Systems.;   

DOI  :  10.2172/920460
RP-ID  :  SAND2007-6058
RP-ID  :  AC04-94AL85000
RP-ID  :  920460

美国|英语

来源: UNT Digital Library

【 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.