Machine learning applications to predict two-phase flow patterns

Recent advances in artificial intelligence with traditional machine learning algorithms and deep learning architectures solve complex classification problems. This work presents the performance of different artificial intelligence models to classify two-phase flow patterns, showing the best alternat...

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Autores principales:	Harold Brayan Arteaga-Arteaga, Alejandro Mora-Rubio, Frank Florez, Nicolas Murcia-Orjuela, Cristhian Eduardo Diaz-Ortega, Simon Orozco-Arias, Melissa delaPava, Mario Alejandro Bravo-Ortíz, Melvin Robinson, Pablo Guillen-Rondon, Reinel Tabares-Soto
Formato:	article
Lenguaje:	EN
Publicado:	PeerJ Inc. 2021
Materias:	Flow patterns classification Machine learning Deep learning Extra trees Feature extraction Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/e1d8468b25c0456492404d1fa7d1a9e8
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Machine learning applications to predict two-phase flow patterns

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