Reference health
Echo State Network-Based Black-Box Modeling and Prediction of Ship Maneuvering Motion
15/15 checkable references clean · checked 2026-08-31
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
33 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 15 checked references that resolve
resolves10.3390/sym13101956
Identification of Ship Dynamics Model Based on Sparse Gaussian Process Regression with Similarity
resolves10.1016/j.oceaneng.2023.114183
Online modeling and prediction of maritime autonomous surface ship maneuvering motion under ocean waves
resolves10.1002/acs.2550
Direct and indirect adaptive integral line‐of‐sight path‐following controllers for marine craft exposed to ocean currents
resolves10.17736/ijope.2023.ak57
Black-box Modeling of Ship Maneuvering Motion Based on Gaussian Progress Regression Optimized by Particle Swarm Optimization
resolves10.1016/j.cosrev.2009.03.005
Reservoir computing approaches to recurrent neural network training
resolves10.1016/j.asoc.2018.12.002
Modelling of a surface marine vehicle with kernel ridge regression confidence machine
resolves10.1016/S1474-6670(17)31732-9
Modeling, identification, and adaptive maneuvering of CyberShip II: A complete design with experiments
resolves10.1109/WCICA.2006.1712919
Harnessing Non-linearity by Sigmoid-wavelet Hybrid Echo State Networks (SWHESN)
resolves10.1016/S1001-6058(15)60510-8
System identification modelling of ship manoeuvring motion based on ε-support vector regression
resolves10.1016/j.neucom.2022.03.018
Echo state network with logistic mapping and bias dropout for time series prediction
resolves10.1016/j.gsf.2020.04.011
Machine learning for pore-water pressure time-series prediction: Application of recurrent neural networks
resolves10.1016/j.neucom.2019.02.062
A short-term traffic forecasting model based on echo state network optimized by improved fruit fly optimization algorithm
resolves10.1016/j.oceaneng.2022.111279
Black-box modeling of ship maneuvering motion based on multi-output nu-support vector regression with random excitation signal
The 33 references without a DOI — listed, not checked
no DOI — not checkedLearning long-term dependencies with gradient descent is difficult
no DOI — not checkedRecurrent neural networks for nonparametric modeling of ship maneuvering motion
no DOI — not checkedNonparametric modeling of ship maneuvering motion based on self-designed fully connected neural network
no DOI — not checkedShip maneuvering simulation in wind and waves: A nonlinear timedomain approach using recursive neural networks
no DOI — not checkedref9
no DOI — not checkedref10
no DOI — not checkedref11
no DOI — not checkedMachine learning prediction of 6-DOF motions of KVLCC2 ship based on RC model
no DOI — not checkedRecursive neural network model of catamaran manoeuvring
no DOI — not checkedOn the difficulty of training recurrent neural networks
no DOI — not checkedMulti-objective ensembles of echo state networks and extreme learning machines for streamflow series forecasting
no DOI — not checkedref20
no DOI — not checkedMemory versus non-linearity in reservoirs
no DOI — not checkedKernel-based support vector regression for nonparametric modeling of ship maneuvering motion
no DOI — not checkedStable output feedback in reservoir computing using ridge regression
no DOI — not checkedref29
no DOI — not checkedOnline identification of a ship maneuvering model using a fast noisy input Gaussian process
no DOI — not checkedLearning long-term dependencies with gradient descent is difficult
no DOI — not checkedRecurrent neural networks for nonparametric modeling of ship maneuvering motion
no DOI — not checkedNonparametric modeling of ship maneuvering motion based on self-designed fully connected neural network
no DOI — not checkedShip maneuvering simulation in wind and waves: A nonlinear timedomain approach using recursive neural networks
no DOI — not checkedref41
no DOI — not checkedref42
no DOI — not checkedMachine learning prediction of 6-DOF motions of KVLCC2 ship based on RC model
no DOI — not checkedRecursive neural network model of catamaran manoeuvring
no DOI — not checkedOn the difficulty of training recurrent neural networks
no DOI — not checkedMulti-objective ensembles of echo state networks and extreme learning machines for streamflow series forecasting
no DOI — not checkedref51
no DOI — not checkedMemory versus non-linearity in reservoirs
no DOI — not checkedKernel-based support vector regression for nonparametric modeling of ship maneuvering motion
no DOI — not checkedStable output feedback in reservoir computing using ridge regression
no DOI — not checkedref60
no DOI — not checkedOnline identification of a ship maneuvering model using a fast noisy input Gaussian process
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