Comparison of improved relevance vector machines for streamflow predictions

This study investigates the feasibility of relevance vector machine tuned with dwarf mongoose optimization algorithm in modeling monthly streamflow. The proposed method is compared with relevance vector machines tuned by particle swarm optimization, whale optimization, marine predators algorithms, a...

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Veröffentlicht in:	Journal of forecasting Jg. 43; H. 1; S. 159 - 181
Hauptverfasser:	Adnan, Rana Muhammad, Mostafa, Reham R, Dai, Hong‐Liang, Mansouri, Ehsan, Kisi, Ozgur, Zounemat‐Kermani, Mohammad
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken, NJ Wiley 01.01.2024 Wiley Periodicals Inc
Schlagworte:	Algorithms dwarf mongoose optimization algorithm Feasibility Function words hydroclimatic data Machinery Optimization Predictions Relevance relevance vector machine streamflow prediction Whales & whaling
ISSN:	1099-131X, 0277-6693, 1099-131X
Online-Zugang:	Volltext
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