A neural network model for the separation of atmospheric effects on attenuation: Application to frequency scaling-Reference-Cited by-同舟云学术

A neural network model for the separation of atmospheric effects on attenuation: Application to frequency scaling

Published:2006-08 Issue:4 Volume:41 Page:n/a-n/a
ISSN:0048-6604
Container-title:Radio Science
language:en
Short-container-title:Radio Sci.

Author:

Barthes Laurent¹,Mallet Cécile¹,Brisseau Olivier

Affiliation:

1. Centre d'Etude des Environnements Terrestre et Planétaires; Velizy; France

Publisher

American Geophysical Union (AGU)

Subject

Electrical and Electronic Engineering,General Earth and Planetary Sciences,Condensed Matter Physics

Reference14 articles.

1. Neural network model for atmospheric attenuation retrieval between 20 and 50 GHz by means of dual-frequency microwave radiometers;Barthes;Radio Sci.,2003

2. Probabilistic Interpretation of Feedforward Classification Network Outputs, with Relationships to Statistical Pattern Recognition

3. Brisseau , O. L. Barthes C. Mallet 2003 Effect of microphysical characteristics of rain on frequency scaling in microwave band IEEE International Geoscience and Remote Sensing Symposium Toulouse, France

4. Brisseau , O. C. Mallet L. Barthes T. Marsault 2005 Rain frequency scaling model using the normalized DSD concept European Conference on Propagation and Systems Brest, France

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