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.
2007
NA
Borgogno Mondino E.
Neural Network; spatial interpolation; MLP
Borgogno Mondino E.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/62856
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