干旱区生态环境知识资源中心(Arid): Coordinated machine learning and decision support for situation awareness.

Arid

DOI	10.2172/920460
报告编号	SAND2007-6058
来源ID	OSTI_ID: 920460
	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
英文摘要	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.
出版年	2007
报告类型	Technical Report
语种	英语
国家	美国
来源学科分类	45 MILITARY TECHNOLOGY, WEAPONRY, AND NATIONAL DEFENSE ; MILITARY PERSONNEL ; DECISION MAKING ; ALGORITHMS ; LEARNING ; NEURAL NETWORKS ; PHYSICAL PROTECTION Knowledge management-Data processing. ; Research-Decision making. ; Decision support systems. ; Sensors-Data processing. ; Statistical decision.
URL	http://www.osti.gov/scitech/servlets/purl/920460
资源类型	科技报告
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/269431
推荐引用方式 GB/T 7714	Draelos, Timothy John,Zhang, Peng-Chu.,Wunsch, Donald C. ,et al. Coordinated machine learning and decision support for situation awareness.,2007.