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...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Proceeding - 2017 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2017
المؤلف الرئيسي: Abdullah N.F.; Rashid N.E.A.; Ibrahim I.P.; Abdullah R.S.A.R.
التنسيق: Conference paper
اللغة:English
منشور في: Institute of Electrical and Electronics Engineers Inc. 2017
الوصول للمادة أونلاين:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049608648&doi=10.1109%2fICRAMET.2017.8253138&partnerID=40&md5=c9527d8a9f10fe022a7009691e2d3e1f

الانترنت

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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