DocumentCode :
2692529
Title :
Radial basis function classification of impulse radar waveforms
Author :
Vrckovnik, G. ; Carter, C.R. ; Haykin, S.
fYear :
1990
fDate :
17-21 June 1990
Firstpage :
45
Abstract :
The radial basis function algorithm is used to classify impulse radar waveforms from asphalt-covered bridge decks. A brief description of the impulse radar scenario is given, and the radial basis function algorithm is summarized. The classification results obtained using the algorithm are presented. Excellent success was obtained, with classification accuracies up to 99%. Training the radial basis function classifier is faster and less complex than training a back-propagation-based network, since the simple least-mean-squares (LMS) algorithm can be used to obtain estimates of the optimum weight values
Keywords :
neural nets; radar theory; signal processing; asphalt-covered bridge decks; classification; impulse radar waveforms; least-mean-squares; radial basis function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1990., 1990 IJCNN International Joint Conference on
Conference_Location :
San Diego, CA, USA
Type :
conf
DOI :
10.1109/IJCNN.1990.137542
Filename :
5726505
Link To Document :
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