An active learning method combining deep neural network and weighted sampling for structural reliability analysis

Research article (Mechanical Systems and Signal Processing, 2020) · cited 122× · AI/ML
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An active learning method combining deep neural network and weighted sampling for structural reliability analysis

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An active learning method combining deep neural network and weighted sampling for structural reliability analysis is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An active learning method combining deep neural network and weighted sampling for structural reliability analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-active-learning-method-combining-deep-neural-network-and-weighted-sampling-for-structural-reliability-analysis
MLA “An active learning method combining deep neural network and weighted sampling for structural reliability analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-active-learning-method-combining-deep-neural-network-and-weighted-sampling-for-structural-reliability-analysis.
BibTeX @misc{4ortxyz_an-active-learning-method-combining-deep-neural-network-and-weighted-sampling-for-structural-reliability-analysis_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An active learning method combining deep neural network and weighted sampling for structural reliability analysis}}, year = {2026}, url = {https://4ort.xyz/entity/an-active-learning-method-combining-deep-neural-network-and-weighted-sampling-for-structural-reliability-analysis}, note = {Accessed: 2026-05-24}}
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