Concept for Monitoring-Based Stress Prediction in Structures by Means of Artificial Neural Networks and Synthetic Noise

dc.contributor.author	Gottardi, Nicola
dc.contributor.author	Freitag, Steffen
dc.contributor.author	Meschke, Günther
dc.date.accessioned	2026-08-20T12:15:39Z
dc.date.available	2026-08-20T12:15:39Z
dc.date.copyright	2025/11/17
dc.date.issued	2026
dc.identifier.other	JSENDH.STENG-14044.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4313290
dc.description.abstract	AbstractAn approach for monitoring and simulation-based stress prediction employing feed-forward neural networks (FNNs) is presented, where artificial noise is used to improve the robustness of structural stress prediction. The approach is demonstrated on ...
dc.publisher	American Society of Civil Engineers
dc.title	Concept for Monitoring-Based Stress Prediction in Structures by Means of Artificial Neural Networks and Synthetic Noise
dc.type	Journal Article
dc.journal.volume	152
dc.journal.issue	2
dc.journal.title	Journal of Structural Engineering
dc.identifier.doi	10.1061/JSENDH.STENG-14044
dc.journal.fristpage	04025252-1
dc.journal.lastpage	04025252-16
dc.page	16
dc.tree	Journal of Structural Engineering:;2026:;Volume ( 152 ):;issue: 002
dc.contenttype	Fulltext