Prediction of boiler gas side effective heat transfer coefficients using mixture density networks and historic plant data
Machine learning has received increased recognition for applications in engineering such as the thermal engineering discipline due to its abilities to circumvent thermodynamic simulation approaches and capture complex inter-dependencies. There have been recent headways to couple deep learning models...
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| Auteurs principaux: | , |
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| Format: | article |
| Langue: | EN FR |
| Publié: |
EDP Sciences
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/b76e652d6a19446b98e88b5bd96da427 |
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