DocumentCode :
3170229
Title :
Meteorological Object Characteristic Calculation Using Doppler Spectrum Analysis with Neural Network
Author :
Marchuk, Vitaliy ; Ostrovsky, Yaroslav ; Yanovsky, Felix
Author_Institution :
Dept. of Aeronavigation Syst., Nat. Aviation Univ., Kiev
fYear :
2006
fDate :
13-15 Sept. 2006
Firstpage :
170
Lastpage :
173
Abstract :
In this paper, neural network usage for processing Doppler spectra from rain sounding is considered. Comparison of data calculated with the network and by ordinary methods is fulfilled. The paper describes architecture of one of the most compatible network used in radar processing. Teaching method, which gives reliable and truthful information, is considered. Perspectives of neural network usage in creation meteorological expert system are demonstrated
Keywords :
Doppler radar; geophysics computing; meteorological radar; neural nets; radar computing; rain; Doppler spectrum analysis; meteorological object characteristic calculation; neural network; radar processing; rain sounding; Data processing; Doppler radar; Meteorological radar; Meteorology; Neural networks; Neurons; Radar polarimetry; Radar signal processing; Rain; Transfer functions; Meteorology; neural network; polarimetric sounding; turbulence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 2006. EuRAD 2006. 3rd European
Conference_Location :
Manchester
Print_ISBN :
2-9600551-7-9
Type :
conf
DOI :
10.1109/EURAD.2006.280301
Filename :
4058285
Link To Document :
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