Coordinated machine learning and decision support for situation awareness

Domains such as force protection require an effective decision maker to maintain a high level of situation awareness. A system that combines humans with neural networks is a desirable approach. Furthermore, it is advantageous for the calculation engine to operate in three learning modes: supervised...

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Veröffentlicht in:	Neural networks 2009-04, Vol.22 (3), p.316-325
Hauptverfasser:	Brannon, N.G., Seiffertt, J.E., Draelos, T.J., Wunsch, D.C.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation, Psychological - physiology Adaptive resonance theory Applied sciences Artificial Intelligence Awareness - physiology Computer science control theory systems Connectionism. Neural networks Decision Making, Computer-Assisted Decision Support Techniques Exact sciences and technology Information, signal and communications theory Learning - physiology Learning and adaptive systems Neural networks Neural Networks (Computer) Reinforcement (Psychology) Reinforcement learning Signal and communications theory Signal representation. Spectral analysis Signal, noise Situation awareness Telecommunications and information theory User-Computer Interface
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