The tool is aimed at interpolating point observations when spatial correlation fails. Neural Network permit to proceed to spatialization taking care of multiple input different from position, while the developed interface and routines permit to look for the best network architecture, to control the performance and to store some interpolation quality parameters.
SPIANN: Spatial Interpolator based on Artificial Nural Network
BORGOGNO MONDINO, ENRICO CORRADO
2007-01-01
Abstract
The tool is aimed at interpolating point observations when spatial correlation fails. Neural Network permit to proceed to spatialization taking care of multiple input different from position, while the developed interface and routines permit to look for the best network architecture, to control the performance and to store some interpolation quality parameters.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.