Observations and problems applying ART2 for dynamic sensor pattern interpretation

This paper discusses characteristics of the ART2 (adaptive resonance theory) information processing model which emerge when applied to the problem of interpreting dynamic sensor data. Fast learn ART2 is employed in a supervised learning framework to classify process "fingerprints" generate...

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Veröffentlicht in:	IEEE transactions on systems, man and cybernetics. Part A, Systems and humans man and cybernetics. Part A, Systems and humans, 1996-07, Vol.26 (4), p.423-437
Hauptverfasser:	Whiteley, J.R., Davis, J.F., Mehrotra, A., Ahalt, S.C.
Format:	Artikel
Sprache:	eng
Schlagworte:	Chemical engineering Chemical processes Feature extraction Humans Information processing Loss measurement Monitoring Resonance Sensor phenomena and characterization Supervised learning
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