An active learning method combining deep neural network and weighted sampling for structural reliability analysis
Mechanical Systems and Signal Processing(2020)
摘要
•An active learning method for structural reliability analysis is proposed.•Deep neural network is applied to select candidate experimental points.•A novel weight coefficient of experimental point is proposed.•The active learning method can be used for other surrogate models.
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关键词
Structural reliability,Surrogate model,Deep neural network,Active learning,Weighted sampling
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