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- Title
Heave compensation prediction based on echo state network with correntropy induced loss function.
- Authors
Huang, Xiaogang; Lei, Dongge; Cai, Lulu; Tang, Tianhao; Wang, Zhibin
- Abstract
In this paper, a new prediction approach is proposed for ocean vessel heave compensation based on echo state network (ESN). To improve the prediction accuracy and enhance the robustness against noise and outliers, a generalized similarity measure called correntropy is introduced into ESN training, which is referred as corr-ESN. An iterative method based on half-quadratic minimization is derived to train corr-ESN. The proposed corr-ESN is used for the heave motion prediction. The experimental results verify its effectiveness.
- Subjects
COST functions; WAGES; ECHO; PHYSICAL sciences
- Publication
PLoS ONE, 2019, Vol 14, Issue 6, p1
- ISSN
1932-6203
- Publication type
Article
- DOI
10.1371/journal.pone.0217361