Cambridge University Press / Target / Hertz / Oxford University Press / /
Continent
Asia / /
Country
Italy / Belgium / United States / United Kingdom / / /
Facility
Institute of Atmospheric Pollution Research / /
IndustryTerm
given statistical tool / dynamical law linking / feed-forward networks / energy maximum / return energy maxima / maximum energy regions / neural networks / maximum energy / empirical tool / loworder chaotic systems / computer technology / artificial neural networks / return energy / intrinsic energy / dynamical systems / energy / maximum return energy / real systems / energy maxima / feed-forward neural network / neural network / nonlinear regressive law linking input / low-order chaotic systems / important applications / intrinsic energy maximum / nonlinear systems / maximum starting energy / fluid-dynamical systems / dynamical law / energy increases / learning algorithm / return maximum energy / atmospheric and oceanic satellite retrievals / learning algorithms / /
Organization
European Geosciences Union / Cambridge University / Institute of Atmospheric Pollution Research / Italian Air Force / American Geophysical Union / American Physical Society / US Federal Reserve / Oxford University / /
Nonlin. Processes Geophys., 17, 809–815, 2010 www.nonlin-processes-geophys.net[removed]doi:[removed]npg[removed] © Author(s[removed]CC Attribution 3.0 License. Nonlinear Processes