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Predicting the Motion of a USV Using Support Vector Regression with Mixed Kernel Function

Predicting the maneuvering motion of an unmanned surface vehicle (USV) plays an important role in intelligent applications. To more precisely predict this empirically, this study proposes a method based on the support vector regression with a mixed kernel function (MK-SVR) combined with the polynomi...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Pengfei Xu, Qingbo Cao, Yalin Shen, Meiya Chen, Yanxu Ding, Hongxia Cheng
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2022-12-01
Schriftenreihe:Journal of Marine Science and Engineering
Schlagworte:
unmanned surface vehicle
support vector regression
mixed kernel function
predicting maneuvering motion
Online-Zugang:https://www.mdpi.com/2077-1312/10/12/1899
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