Date of download: 12/17/2017 Copyright © ASME. All rights reserved. From: Parametric Identification of Abkowitz Model for Ship Maneuvering Motion by Using Partial Least Squares Regression J. Offshore Mech. Arct. Eng. 2015;137(3):031301-031301-8. doi:10.1115/1.4029827 Figure Legend: Simulation results of 20 deg/20 deg zigzag test

Date of download: 12/17/2017 Copyright © ASME. All rights reserved. From: Parametric Identification of Abkowitz Model for Ship Maneuvering Motion by Using Partial Least Squares Regression J. Offshore Mech. Arct. Eng. 2015;137(3):031301-031301-8. doi:10.1115/1.4029827 Figure Legend: Identification and generalization performances of Δu· with different number of samples: (a) PLS regression and (b) LS regression

Date of download: 12/17/2017 Copyright © ASME. All rights reserved. From: Parametric Identification of Abkowitz Model for Ship Maneuvering Motion by Using Partial Least Squares Regression J. Offshore Mech. Arct. Eng. 2015;137(3):031301-031301-8. doi:10.1115/1.4029827 Figure Legend: Identification and generalization performances of Δv· with different number of samples: (a) PLS regression and (b) LS regression

Date of download: 12/17/2017 Copyright © ASME. All rights reserved. From: Parametric Identification of Abkowitz Model for Ship Maneuvering Motion by Using Partial Least Squares Regression J. Offshore Mech. Arct. Eng. 2015;137(3):031301-031301-8. doi:10.1115/1.4029827 Figure Legend: Identification and generalization performances of Δr· with different number of samples: (a) PLS regression and (b) LS regression

Date of download: 12/17/2017 Copyright © ASME. All rights reserved. From: Parametric Identification of Abkowitz Model for Ship Maneuvering Motion by Using Partial Least Squares Regression J. Offshore Mech. Arct. Eng. 2015;137(3):031301-031301-8. doi:10.1115/1.4029827 Figure Legend: Generalization error of Δu· with different number of samples: (a) PLS regression and (b) LS regression

Date of download: 12/17/2017 Copyright © ASME. All rights reserved. From: Parametric Identification of Abkowitz Model for Ship Maneuvering Motion by Using Partial Least Squares Regression J. Offshore Mech. Arct. Eng. 2015;137(3):031301-031301-8. doi:10.1115/1.4029827 Figure Legend: Generalization error of Δv· with different number of samples: (a) PLS regression and (b) LS regression

Date of download: 12/17/2017 Copyright © ASME. All rights reserved. From: Parametric Identification of Abkowitz Model for Ship Maneuvering Motion by Using Partial Least Squares Regression J. Offshore Mech. Arct. Eng. 2015;137(3):031301-031301-8. doi:10.1115/1.4029827 Figure Legend: Generalization error of Δr· with different number of samples: (a) PLS regression and (b) LS regression

Date of download: 12/17/2017 Copyright © ASME. All rights reserved. From: Parametric Identification of Abkowitz Model for Ship Maneuvering Motion by Using Partial Least Squares Regression J. Offshore Mech. Arct. Eng. 2015;137(3):031301-031301-8. doi:10.1115/1.4029827 Figure Legend: Training data of 20 deg/20 deg zigzag test (with 10% noise)

Date of download: 12/17/2017 Copyright © ASME. All rights reserved. From: Parametric Identification of Abkowitz Model for Ship Maneuvering Motion by Using Partial Least Squares Regression J. Offshore Mech. Arct. Eng. 2015;137(3):031301-031301-8. doi:10.1115/1.4029827 Figure Legend: Identification (with noise) and generalization (noise-free) performance for Δu·: (a) PLS regression and (b) LS regression

Date of download: 12/17/2017 Copyright © ASME. All rights reserved. From: Parametric Identification of Abkowitz Model for Ship Maneuvering Motion by Using Partial Least Squares Regression J. Offshore Mech. Arct. Eng. 2015;137(3):031301-031301-8. doi:10.1115/1.4029827 Figure Legend: Identification (with noise) and generalization (noise-free) performance for Δv·: (a) PLS regression and (b) LS regression

Date of download: 12/17/2017 Copyright © ASME. All rights reserved. From: Parametric Identification of Abkowitz Model for Ship Maneuvering Motion by Using Partial Least Squares Regression J. Offshore Mech. Arct. Eng. 2015;137(3):031301-031301-8. doi:10.1115/1.4029827 Figure Legend: Identification (with noise) and generalization (noise-free) performance for Δr·: (a) PLS regression and (b) LS regression