Predicting the Geometrical Characteristics of an Inclined Negatively-Buoyant Jet for Angles from 30° to 60° Using GMDH Neural Network
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-1065-4_30
Reference32 articles.
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4. Alfaifi H, Mohammadian A, Bonakdari H (2020) Experimental investigation and model development of geometric characteristics of negatively buoyant jets inclined at 15° and 52° using GMDH method. J Coastal Res 36(3)
5. Alitaleshi F, Daghbandan D (2019) Using a multi-objective optimal design of GMDH type neural networks to evaluate the quality of treated water in a water treatment plant. Desalin Water Treat 139:123–132
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