Coordinated Machine Learning and Decision Support for Situation Awareness.

Brannon, N. ; Conrad, G. ; Draelos, T. ; Seiffertt, J. ; Wunsch, D.

Technical Information Center Oak Ridge Tennessee

关键词: Force protection;    Machining learning;    Information fusion;    Situation awareness;    Vehicle tracking;   

RP-ID  :  DE2007920460

学科分类：工程和技术（综合）

美国|英语

来源: National Technical Reports 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 operators 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.