Multiple multivariate regression and global sequence optimization:: An application to large-scale models of radiation intensity

We investigate the strengths and weaknesses of several neural network architectures applied to a large-scale thermodynamical application in which sequences of measurements from gas columns must be integrated to construct the columns' spectral radiation intensity profiles. This is a problem of i...

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Veröffentlicht in:	Signal processing 1998-02, Vol.64 (3), p.371-382
Hauptverfasser:	Zaragoza, H., Gallinari, P., Curtelin, R., Leglaye, F.
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science
Online-Zugang:	Volltext
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