FSR vehicles classification system based on hybrid neural network with different data extraction methods
This paper evaluates the performance of Forward Scatter Radar classification system using as so called “hybrid FSR classification techniques” based on three different data extraction methods which are manual, Principal Component Analysis (PCA) and z-score. By combining these data extraction methods...
| Main Authors: | , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/59509/1/FSR%20vehicles%20classification%20system%20based%20on%20hybrid%20neural%20network%20with%20different%20data%20extraction%20methods.pdf |