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Proceedings Papers

LSTM-Based Ensemble Learning for Time-Dependent Reliability Analysis

Mingyang Li, Zequn Wang
Proc. ASME. IDETC-CIE2020, Volume 11B: 46th Design Automation Conference (DAC), V11BT11A035, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22006
https://doi.org/10.1115/DETC2020-22006
... Abstract This paper presents a long short-term memory (LSTM)-based ensemble learning framework for time-dependent reliability analysis. To deal with the time-dependent uncertainties, a LSTM network is first adopted to capture the system dynamics. As a result, time-dependent system responses...
View Paper titled, LSTM-Based <span class="search-highlight">Ensemble</span> <span class="search-highlight">Learning</span> for Time-Dependent Reliability Analysis
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Topics: Event history analysis, Stochastic processes