Recognition of rust grade and rust ratio of steel structures based on ensembled convolutional neural network

Ensembled convolutional neural network (ECNN) was utilized to recognize the rust grade and rust ratio of steel structure to partially replace traditional visual inspection. The performance of ECNN was demonstrated by theoretical analysis and experimental verification, and the application scenarios o...

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Veröffentlicht in:	Computer-aided civil and infrastructure engineering 2020-10, Vol.35 (10), p.1160-1174
Hauptverfasser:	Xu, Jie, Gui, Changqing, Han, Qinghua
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Blurring Classifiers Fault tolerance Image processing Image segmentation Inspection Neural networks Object recognition Steel structures
Online-Zugang:	Volltext
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