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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書目詳細資料
發表在:Proceeding - 2017 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2017
主要作者: Abdullah N.F.; Rashid N.E.A.; Ibrahim I.P.; Abdullah R.S.A.R.
格式: Conference paper
語言:English
出版: Institute of Electrical and Electronics Engineers Inc. 2017
在線閱讀: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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