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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Detalles Bibliográficos
Autores principales: Arteaga-Arteaga, Harold Brayan, Mora-Rubio, Alejandro, Florez, Frank, Murcia-Orjuela, Nicolas, Diaz-Ortega, Cristhian Eduardo, Orozco-Arias, Simon, delaPava, Melissa, Bravo-Ortíz, Mario Alejandro, Robinson, Melvin, Guillen-Rondon, Pablo, Tabares-Soto, Reinel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Algorithms and Analysis of Algorithms
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8641572/
https://www.ncbi.nlm.nih.gov/pubmed/34909465
http://dx.doi.org/10.7717/peerj-cs.798

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8641572/
https://www.ncbi.nlm.nih.gov/pubmed/34909465
http://dx.doi.org/10.7717/peerj-cs.798

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