An unsupervised context-free forecasting method for structural health monitoring by generative adversarial networks with progressive growing and self-attention

Auteur(s):	Shuai Gao (Southeast University, Key Laboratory of Concrete and Prestressed Concrete Structure of Ministry of Education, Nanjing, China) Zhengbo Zou (Department of Civil Engineering, University of British Columbia, Vancouver, BC, Canada) Zhenwei Zhou (School of Civil Engineering and Architecture, East China Jiao Tong University, Nanchang, China) Chunfeng Wan (Southeast University, Key Laboratory of Concrete and Prestressed Concrete Structure of Ministry of Education, Nanjing, China) Liyu Xie (Department of Disaster Mitigation for Structures, Tongji University, Shanghai, China) Songtao Xue (Department of Disaster Mitigation for Structures, Tongji University, Shanghai, China)
Médium:	article de revue
Langue(s):	anglais
Publié dans:	Structural Health Monitoring
DOI:	10.1177/14759217241269702

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