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 extractio...

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Bibliographic Details
Published in:Proceeding - 2017 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2017
Main Author: Abdullah N.F.; Rashid N.E.A.; Ibrahim I.P.; Abdullah R.S.A.R.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049608648&doi=10.1109%2fICRAMET.2017.8253138&partnerID=40&md5=c9527d8a9f10fe022a7009691e2d3e1f

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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049608648&doi=10.1109%2fICRAMET.2017.8253138&partnerID=40&md5=c9527d8a9f10fe022a7009691e2d3e1f

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