Pattern recognition algorithms for density estimation of asphalt pavement during compaction: a simulation study

This paper presents the application of artificial neural network (ANN) based pattern recognition to extract the density information of asphalt pavement from simulated ground penetrating radar (GPR) signals. This study is part of research efforts into the application of GPR to monitor asphalt pavemen...

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Veröffentlicht in:	Journal of applied geophysics 2014-08, Vol.107, p.8-15
Hauptverfasser:	Shangguan, Pengcheng, Al-Qadi, Imad L., Lahouar, Samer
Format:	Artikel
Sprache:	eng
Schlagworte:	artificial neural network Asphalt compaction monitoring Computer simulation Density finite-difference time-domain method Ground penetrating radar Neural networks Pattern recognition Pavements Voids
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