Machine Learning Models Applied to Manage the Operation of a Simple SWRO Desalination Plant and Its Application in Marine Vessels

In this work, two machine learning techniques, specifically decision trees (DTs) and support vector machines (SVMs), were applied to optimize the performance of a seawater reverse osmosis (SWRO) desalination plant with a capacity of 100 m3 per day. The input variables to the system were seawater pH,...

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Veröffentlicht in:Water (Basel) 2021-09, Vol.13 (18), p.2547
Hauptverfasser: Marichal Plasencia, Graciliano Nicolás, Camacho-Espino, Jorge, Ávila Prats, Deivis, Peñate Suárez, Baltasar
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Sprache:eng
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