Ship maneuverability prediction accuracy depends on the accuracy of ship motion model
parameter identification. To solve the problem of parameter identification of nonlinear ship …

In order to further explore more efficient identification algorithms that can solve the ship
motion identification modeling problem, a novel identification algorithm for 3-DOF ship …

Using the full-scale trial data of vessel YUKUN, a parameter identification scheme, Support
Vector Regression (SVR) combined with modified grey wolf optimizer (MGWO), is proposed …

In consideration of the defects of traditional least squares and extended Kalman filtering
methods that are used for parameter identification of ship response model, ie, low precision …

Determination of ship maneuvering models is a tough task of ship maneuverability
prediction. Among several prime approaches of estimating ship maneuvering models …

This study explores a nonparametric identification scheme for a ship maneuvering
mathematical model. To overcome the difficulty in setting support vector regression (SVR) …

In order to solve the problem of parameter identification of nonlinear ship motion model in
ship autonomous navigation control, a real-time parameter identification method based on …

In order to further improve the accuracy of parameter identification of ship nonlinear motion
mathematical model, grey wolf optimizer-support vector regression (GWO-SVR) is …

This paper investigates the problem of parameter identification for ship nonlinear Nomoto
model with small test data, a nonlinear innovation-based identification algorithm is …

In order to identify more accurately and efficiently the unknown parameters of a ship motions
model, a novel Nonlinear Least Squares Support Vector Machine (NLSSVM) algorithm …