FSR vehicles classification system based on hybrid neural network with different data extraction methods

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...

Full description

Bibliographic Details
Main Authors: Abdullah, Nur Fadhilah, Abdul Rashid, Nur Emileen, Ibrahim, Idnin Pasya, Raja Abdullah, Raja Syamsul Azmir
Format: Conference or Workshop Item
Language:English
Published: IEEE 2017
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

Internet

http://psasir.upm.edu.my/id/eprint/59509/1/FSR%20vehicles%20classification%20system%20based%20on%20hybrid%20neural%20network%20with%20different%20data%20extraction%20methods.pdf

Similar Items