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LSTM-augmented probability-informed neural network-driven evolution estimation for time-dependent reliability analysis

delete2025-09-22
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PRE
AI
H
Hongyuan Guo
J
Jiaxin Zhang
Y
You Dong *
D
Dan M. Frangopol
DOI:10.1016/j.strusafe.2025.102652delete
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Abstract

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.

Journal

Structural Safety cover
Structural Safety
IF:
6.3
Papers:
1.4K
Citations:
7.0K

Organization

T
The Hong Kong Polytechnic University
Scholars:
5.1K
Papers: 3.0K
Citations: 17
L
Lehigh University
Scholars:
4.8K
Papers: 5.1K
Citations: 6.3K