Hybrid neural network models for environmental process control (The 1998 Hunter Lecture)

A model that includes both first principles differential equations and an artificial neural network is used to forecast and control an environmental process. The inclusion of the first principles knowledge in this hybrid model is shown to improve substantially the stability of the model predictions...

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Veröffentlicht in:	Environmetrics (London, Ont.) Ont.), 1999-05, Vol.10 (3), p.225-236
Hauptverfasser:	De Veaux, Richard D., Bain, Rod, Ungar, Lyle H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Earth sciences Earth, ocean, space Engineering and environment geology. Geothermics Exact sciences and technology grey box models Hydrology. Hydrogeology Kalman Filter knowledge based neural networks MARS Pollution, environment geology prior information regression Water resources
Online-Zugang:	Volltext
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