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Prediction of Geometrical Characteristics of an Inclined Negatively Buoyant Jet Using Group Method of Data Handling (GMDH) Neural Network

A new approach to predicting the geometrical characteristics of the mixing behavior of an inclined dense jet for angles ranging from 15° to 85° is proposed in this study. This approach is called the group method of data handling (GMDH) and is based on the artificial neural network (ANN) technique. T...

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Uloženo v:
Hlavní autoři: Hassan Alfaifi, Hossein Bonakdari
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2024-08-01
Edice:Fluids
Témata:
inclined negatively buoyant jet
analytical model
GMDH
statistical indices
densimetric Froude number
On-line přístup:https://www.mdpi.com/2311-5521/9/9/198
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