CORDIS provides links to public deliverables and publications of HORIZON projects.
Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .
Exploitable results
ASTON University has developed a friendly Neural Network Software for developing Neural Network algorithms.
The NEUROSAT teams have developed:
A Geophysical Model Function (GMF) for ERS1/2 scatterometers available as a fortran subroutine
A GMF for the NSCAT scatterometer and the associated error bars available as a fortran subroutines
A GMF for the QSCAT scatterometer and the associated error bars available as Fortran subroutines
The NEUROSAT teams have conducted research for developing rational methodologies using Multi-Layer Perceptions for modelling empirical transfer functions and inverting them. These methodologies will be of interest for the scientific community involved in processing and analyzing satellite remote sensing data. They are reported in two major papers of generic interest describing the state of the art on regression and inversion by using NN. These papers whose draft have been disseminated among the NEUROSAT community have been submitted to leading scientific journals.
Besides a final Workshop has been organized as a dedicated NEUROSAT session at the EGS 1999 at the Hague (Netherlands) where the major results were presented and discussed.
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