DocumentCode
3223758
Title
The use of fuzzy neural networks for estimating the parameters of the K-distribution
Author
Alioua, Chehla ; Soltani, Faouzi
Author_Institution
Dept. d´´Electron., Univ. Mentouri Constantine, Constantine, Algeria
fYear
2009
fDate
15-17 July 2009
Firstpage
192
Lastpage
196
Abstract
Recently, artificial neural network have been used in radar signal detection. In this paper, a fuzzy neural approach for estimating the parameters of the K distribution is proposed. We use the back propagation (BP) algorithm for the training process. We obtain improved results compared with those obtained by the method based on higher order and fractional moments for small sample sizes.
Keywords
backpropagation; fuzzy neural nets; radar computing; radar detection; K-distribution; artificial neural network; backpropagation algorithm; fuzzy neural networks; parameter estimation; radar signal detection; training process; Artificial neural networks; Clutter; Fuzzy logic; Fuzzy neural networks; Fuzzy sets; Neurons; Parameter estimation; Radar; Shape; Signal detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Computational Tools for Engineering Applications, 2009. ACTEA '09. International Conference on
Conference_Location
Zouk Mosbeh
Print_ISBN
978-1-4244-3833-4
Electronic_ISBN
978-1-4244-3834-1
Type
conf
DOI
10.1109/ACTEA.2009.5227932
Filename
5227932
Link To Document