Validationof the QSCAT NRCS on the Advanced Neural Network NSCAT GMF andestimation of Neural Network QSCAT GMF
Tran, N. ; Thiria, Sylvie ; Crepon, M. ; Badran, Fouad ; Freilich, M.
HAL, hal-01124636 / Harvested from HAL
Text on HAL
Neural networks are relevant statistical methods that we used todetermine the GMFs of NSCAT and QSCAT scatterometer. They arewell-suited for non-linear regression but they also can give moreinformation than just the mean of a conditional distribution of data. Wehave also determined a function which estimates the conditional varianceof QSCAT measurements following the previous works on NSCATmeasurements
Publié le : 2000-01-01
Classification:  [INFO]Computer Science [cs],  [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST] 
@article{hal-01124636,
     author = {Tran, N. and Thiria, Sylvie and Crepon, M. and Badran, Fouad and Freilich, M.},
     title = {Validationof the QSCAT NRCS on the Advanced Neural Network NSCAT GMF andestimation of Neural Network QSCAT GMF},
     journal = {HAL},
     volume = {2000},
     number = {0},
     year = {2000},
     language = {en},
     url = {http://dml.mathdoc.fr/item/hal-01124636}
}

Tran, N.; Thiria, Sylvie; Crepon, M.; Badran, Fouad; Freilich, M. Validationof the QSCAT NRCS on the Advanced Neural Network NSCAT GMF andestimation of Neural Network QSCAT GMF. HAL, Tome 2000 (2000) no. 0, . http://gdmltest.u-ga.fr/item/hal-01124636/