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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Journal of forecasting 2024-01, Vol.43 (1), p.159-181
Hauptverfasser:	Adnan, Rana Muhammad, Mostafa, Reham R, Dai, Hong‐Liang, Mansouri, Ehsan, Kisi, Ozgur, Zounemat‐Kermani, Mohammad
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms dwarf mongoose optimization algorithm Feasibility hydroclimatic data Optimization Relevance relevance vector machine streamflow prediction Whales & whaling
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!