Atmospheric temperature retrieval from satellite data: new non-extensive artificial neural network approach
Abstract
References
Index Terms
- Atmospheric temperature retrieval from satellite data: new non-extensive artificial neural network approach
Recommendations
Atmospheric temperature retrieval using a Radial Basis Function Neural Network
Vertical temperature profiles are obtained from measured satellite radiance data by using a Radial Basis Function Neural Network (RBF-NN). The RBF-NN is trained with data provided by the direct model, characterised by the Radiative Transfer Equation. ...
Banach space representer theorems for neural networks and ridge splines
We develop a variational framework to understand the properties of the functions learned by neural networks fit to data. We propose and study a family of continuous-domain linear inverse problems with total variation-like regularization in the Radon ...
Atmospheric Temperature Prediction across Nigeria using Artificial Neural Network
ICFNDS '21: Proceedings of the 5th International Conference on Future Networks and Distributed SystemsAtmospheric temperature is one of the dominating atmospheric parameters that impact on the propagation of radio waves through the troposphere. Adequate knowledge of the atmospheric temperature of an environment is therefore essential for radio wave ...
Comments
Information & Contributors
Information
Published In
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 173Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in