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[BCM99] Empirical transfert function determination by the use of Multilayer Perceptron
Revue Internationale avec comité de lecture : Journal Neurocomputing, vol. 30(1), 1999
motcle:
Résumé:
Neural Networks are relevant statistical methods to extract information
from data when physical phenomena are very complicated and cannot be
described in terms of theoretical analysis. Scatterometers are active
microwave radar which accurately measure the power of the backscatter
signal versus incident signal in order to calcu- late the normalized
radar cross section ( � 0 ) of the ocean surface. We use Multilayer
Perceptrons in order to determine the Geophysical Model Function and to
estimate the variability of the signal of ERS-1, ERS-2 and NSCAT
scatterometers.
Commentaires:
pp 37-46
Collaboration:
UPMC
BibTeX
| @article { | |||
| BCM99, | |||
| title | = | "{Empirical transfert function determination by the use of Multilayer Perceptron}", | |
| author | = | "F. Badran and M. Crepon and C. Mejia and S. Thiria and N. Tran", | |
| journal | = | "Neurocomputing", | |
| year | = | 1999, | |
| volume | = | 30, | |
| number | = | 1, | |
| note | = | "{pp 37-46}", | |
| } | |||
