Estimating thermal radiation of vertical jet fires of hydrogen pipeline based on linear integral and machine learning
Abstract Accurate and efficient prediction of thermal radiant of hydrogen jet fire is important to schedule safety design and emergency rescue program for hydrogen pipelines. In response, this paper proposes a novel Optuna-improved back propagation neural network (Optuna-BPNN) to estimate hydrogen j...
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| Asıl Yazarlar: | , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Nature Portfolio
2025-10-01
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| Seri Bilgileri: | Scientific Reports |
| Konular: | |
| Online Erişim: | https://doi.org/10.1038/s41598-025-17462-8 |
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