Neural network uncertainty assessment using Bayesian statistics with application to remote sensing: 2. Output errors-Reference-Cited by-同舟云学术

Neural network uncertainty assessment using Bayesian statistics with application to remote sensing: 2. Output errors

Published:2004 Issue:D10 Volume:109 Page:
ISSN:0148-0227
Container-title:Journal of Geophysical Research
language:en
Short-container-title:J. Geophys. Res.

Author:

Aires F.

Publisher

American Geophysical Union (AGU)

Subject

Paleontology,Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Earth-Surface Processes,Geochemistry and Petrology,Soil Science,Water Science and Technology,Ecology,Aquatic Science,Forestry,Oceanography,Geophysics

Reference27 articles.

1. Neural network uncertainty assessment using Bayesian statistics with application to remote sensing: 1. Network weights;Aires;J. Geophys. Res.,2004

2. Inferring instantaneous, multivariate and nonlinear sensitivities for the analysis of feedback processes in a dynamical system: The Lorenz model case study;Aires;Q. J. R. Meteorol. Soc.,2003

3. The weight smoothing regularisation for MLP for resolving the input contribution's errors in functional interpolations;Aires;IEEE Trans. Neural Networks,1999

4. A new neural network approach including first guess for retrieval of atmospheric water vapor, cloud liquid water path, surface temperature and emissivities over land from satellite microwave observations;Aires;J. Geophys. Res.,2001

5. Remote sensing from the infrared atmospheric sounding interferometer instrument: 2. Simultaneous retrieval of temperature, water vapor, and ozone atmospheric profiles;Aires;J. Geophys. Res.,2002

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