Crack detection using fusion features‐based broad learning system and image processing

Deep learning has been widely applied to vision‐based structural damage detection, but its computational demand is high. To avoid this computational burden, a novel crack detection system, namely, fusion features‐based broad learning system (FF‐BLS), is proposed for efficient training without GPU ac...

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Veröffentlicht in:	Computer-aided civil and infrastructure engineering 2021-12, Vol.36 (12), p.1568-1584
Hauptverfasser:	Zhang, Yang, Yuen, Ka‐Veng
Format:	Artikel
Sprache:	eng
Schlagworte:	Acceleration Artificial neural networks Damage detection Deep learning Dynamical systems Feature extraction Image enhancement Image processing Nodes Structural damage Training
Online-Zugang:	Volltext
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