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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Vydané v:	Journal of forecasting Ročník 43; číslo 1; s. 159 - 181
Hlavní autori:	Adnan, Rana Muhammad, Mostafa, Reham R, Dai, Hong‐Liang, Mansouri, Ehsan, Kisi, Ozgur, Zounemat‐Kermani, Mohammad
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hoboken, NJ Wiley 01.01.2024 Wiley Periodicals Inc
Predmet:	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
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