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Radial basis function classification of impulse...
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Radial basis function classification of impulse radar waveforms

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

Authors

Vrckovnik G; Carter CR; Haykin S

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

January 1, 1990

DOI

10.1109/ijcnn.1990.137542

Name of conference

1990 IJCNN International Joint Conference on Neural Networks

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