Neural networks for localized atmospheric density forecasting
The following cases are presented
1.Predicting one orbit into the future
1.1 Neural network trained with data from day 140 2001 to day 14 2002.
1.2 Neural network trained with data from day 140 2001 to day 14 2002, that uses as additional inputs Dst and F10.7
2.Predicting 8 orbits into the future
2.1 Neural network trained with data from year 2002 that uses as additional inputs Dst and F10.7
3.Predicting 32 orbits into the future
3.1 Neural network trained with data from year 2002 that uses as additional inputs Dst and F10.7
The Neural Networks were part of the results presented in:
http://riccardobevilacqua.com/PerWhoLovShoBev_publishedACTA2014.pdf
The Neural Networks were developed at the ADAMUS Lab at RPI and at Los Alamos National Lab
Cite As
David Perez (2024). Neural networks for localized atmospheric density forecasting (https://www.mathworks.com/matlabcentral/fileexchange/45193-neural-networks-for-localized-atmospheric-density-forecasting), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxCategories
- AI, Data Science, and Statistics > Deep Learning Toolbox > Function Approximation, Clustering, and Control > Function Approximation and Clustering >
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.