Neural network techniques in electromagnetic target classification: A comparison study

Date

1999-01-01

Author

Sayan, Gönül

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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

URI

https://hdl.handle.net/11511/52456

DOI

https://doi.org/10.1109/aps.1999.789251

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Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

G. Sayan, “Neural network techniques in electromagnetic target classification: A comparison study,” 1999, vol. 4, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/52456.