Reliability prediction for evolutionary product in the conceptual design phase using neural network-based fuzzy synthetic assessment
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Publication:5172463
DOI10.1080/00207721.2011.617887zbMath1305.90144OpenAlexW2050630313MaRDI QIDQ5172463
Hong-Zhong Huang, Yu Liu, Dan Ling
Publication date: 4 February 2015
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2011.617887
Reliability, availability, maintenance, inspection in operations research (90B25) Neural networks for/in biological studies, artificial life and related topics (92B20)
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Cites Work
- Computational intelligence in reliability engineering. Evolutionary techniques in reliability analysis and optimization
- Fuzzy sets as a basis for a theory of possibility
- Using neural network function approximation for optimal design of continuous-state parallel-series systems
- Feedforward Neural Network Construction Using Cross Validation
- Reliability assessment for fuzzy multi-state systems
- Dynamic evidential reasoning algorithm for systems reliability prediction
- Two-unit repairable systems with common-cause shock failures and fuzzy parameters: parametric programming approach
- Reliability-based measures for a system with an uncertain parameter environment
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