Application of LSTM based on the BAT-MCS for binary-state network approximated time-dependent reliability problems
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DOI: 10.1016/j.ress.2022.108954
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Cited by:
- Ouyang, Linhan & Che, Yushuai & Park, Chanseok & Chen, Yuejian, 2024. "A novel active learning Gaussian process modeling-based method for time-dependent reliability analysis considering mixed variables," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
- Yeh, Wei-Chang, 2024. "A new hybrid inequality BAT for comprehensive all-level d-MP identification using minimal paths in Multistate Flow Network reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
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Keywords
Long short-term memory (LSTM); Monte carlo simulation (MCS); Binary-addition-tree algorithm (BAT); Statistical characteristics; Binary-state network reliability;All these keywords.
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