Bayesian optimization-based Model-Agnostic Meta-Learning: Application to predict maximum cyclic moment resistance of steel bolted T-stub connections

Author:

Shen YanfeiORCID,Li MaoORCID,Li Yong

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Reference47 articles.

1. Experimental performance of double built-up T moment connections under cyclic loading;Herrera;J. Constr. Steel Res.,2017

2. Experimental analysis of bolted steel beam-to-column connections: component identification;Iannone;J. Earthq. Eng.,2011

3. Seismic Evaluation and Retrofit of Existing Buildings,2017

4. A reliable cyclic envelope model for partially-restrained steel beam-column bolted T-stub joints based on experimental data;Shen;Thin Walled Struct.,2024

5. Performance prediction and analysis of engineered cementitious composites based on machine learning;Chen;Dev. Built Environ.,2024

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