Bayesian ANN-Based Prediction and Multi-Objective Optimization of Tribological Behavior in Magnesium Alloy AZ91D at Elevated Temperature Using Pareto GA
- DOI
- 10.1590/1980-5373-mr-2025-0388
- Published
- 2025
- Container
- Materials Research
- Publisher
- FapUNIFESP (SciELO)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1590/1980-5373-mr-2025-0388,
title = {Bayesian ANN-Based Prediction and Multi-Objective Optimization of Tribological Behavior in Magnesium Alloy AZ91D at Elevated Temperature Using Pareto GA},
author = {Beniyel Muthuraj and Sivapragash Murugesan and Rajesh Rajamony and Michael Thomas Rex Francis},
year = {2025},
journal = {Materials Research},
doi = {10.1590/1980-5373-mr-2025-0388},
url = {https://doi.org/10.1590/1980-5373-mr-2025-0388}
}RIS
TY - JOUR TI - Bayesian ANN-Based Prediction and Multi-Objective Optimization of Tribological Behavior in Magnesium Alloy AZ91D at Elevated Temperature Using Pareto GA AU - Beniyel Muthuraj AU - Sivapragash Murugesan AU - Rajesh Rajamony AU - Michael Thomas Rex Francis PY - 2025 JO - Materials Research DO - 10.1590/1980-5373-mr-2025-0388 UR - https://doi.org/10.1590/1980-5373-mr-2025-0388 ER -
APA
Muthuraj, B., Murugesan, S., Rajamony, R., & Francis, M. T. R. (2025). Bayesian ANN-Based Prediction and Multi-Objective Optimization of Tribological Behavior in Magnesium Alloy AZ91D at Elevated Temperature Using Pareto GA. Materials Research. https://doi.org/10.1590/1980-5373-mr-2025-0388
Source records
- crossref · retrieved 2026-09-26T17:20:41.200Z