DocumentCode
2488800
Title
Meteorological Object Characteristics Estimation with Neural Network
Author
Marchuk, V. ; Yanovsky, F.
Author_Institution
Dept. of Aeronavigation, National Aviation Univ., Kiev
fYear
0
fDate
0-0 0
Firstpage
289
Lastpage
291
Abstract
An example of network application for Doppler echo-signal processing is shown. The structure of neural network for such kind of operation is studied. A classical method and neural method in the calculation of eddy dissipation rate are considered and a comparison of results is done
Keywords
Doppler radar; echo; meteorological radar; neural nets; radar signal processing; Doppler echo-signal processing; characteristics estimation; eddy dissipation rate; meteorological object; neural method; neural network; Artificial neural networks; Data processing; Education; Electronic mail; Meteorological radar; Meteorology; Neural networks; Neurons; Radar applications; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Mathematical Methods in Electromagnetic Theory, 2006 International Conference on
Conference_Location
Kharkiv
Print_ISBN
1-4244-0490-8
Type
conf
DOI
10.1109/MMET.2006.1689770
Filename
1689770
Link To Document