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LSTM-augmented probability-informed neural network-driven evolution estimation for time-dependent reliability analysis
DOI:10.1016/j.strusafe.2025.102652.png)
Abstract
En 中文
• Proposed LPNE framework integrating LSTM with probability density evolution. • Enhanced PKDE accuracy through LSTM-driven stochastic sample augmentation. • Validated framework via four dynamic system cases, achieving high accuracy.
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