Title :
Neural network techniques in electromagnetic target classification: a comparison study
Author :
Turhan-Sayan, G. ; Ince, T.
Author_Institution :
Dept. of Electr. & Electron. Eng., Middle East Tech. Univ., Ankara, Turkey
Abstract :
The performances of a self-organizing map classifier, a multilayer perceptron classifier and a conventional classifier, based on the well-known principal component analysis technique, are compared in classifying a group of model aircraft, according to their accuracy and their real-time classification speed.
Keywords :
aircraft; multilayer perceptrons; pattern classification; principal component analysis; radar computing; radar signal processing; self-organising feature maps; electromagnetic target classification; model aircraft; multilayer perceptron classifier; neural network techniques; performance; principal component analysis technique; self-organizing map classifier; Aircraft; Artificial neural networks; Clustering algorithms; Electromagnetic scattering; Frequency; Intelligent networks; Multi-layer neural network; Neural networks; Principal component analysis; Spatial databases;
Conference_Titel :
Antennas and Propagation Society International Symposium, 1999. IEEE
Conference_Location :
Orlando, FL, USA
Print_ISBN :
0-7803-5639-x
DOI :
10.1109/APS.1999.789251
