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Self-Organizing Data-Driven Online Prediction Model of Ship Maneuvering Fast-Dynamics

https://doi.org/10.2139/ssrn.4455708
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Black-box modeling of ship manoeuvring motion based on feed-forward neural network with Chebyshev orthogonal basis function
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Nonlinear systems modelling based on self-organizing fuzzy neural network with hierarchical pruning scheme
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inferredcites →https://doi.org/10.1016/j.oceaneng.2013.01.005openalex-extracted
On-line prediction of ship roll motion during maneuvering using sequential learning RBF neuralnetworks
inferredcites →https://doi.org/10.1016/j.oceaneng.2014.03.008openalex-extracted
Manoeuvring simulation of catamaran by using implicit models based on support vector machines
inferredcites →https://doi.org/10.1016/j.oceaneng.2018.04.058openalex-extracted
A real-time ship roll motion prediction using wavelet transform and variable RBF network
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Data-driven uncertainty and sensitivity analysis for ship motion modeling in offshore operations
inferredcites →https://doi.org/10.1016/j.oceaneng.2020.107862openalex-extracted
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Kernel-based support vector regression for nonparametric modeling of ship maneuvering motion
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Nonparametric modeling of ship maneuvering motion based on self-designed fully connected neural network
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Online modeling and prediction of maritime autonomous surface ship maneuvering motion under ocean waves
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Large Tanker Motion Model Identification Using Generalized Ellipsoidal Basis Function-Based Fuzzy Neural Networks
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Data-Driven Modeling Using Improved Multi-Objective Optimization Based Neural Network for Coke Furnace System
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Nonlinear Identification for 4-DOF Ship Maneuvering Modeling via Full-Scale Trial Data
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Extreme Learning-Based Monocular Visual Servo of an Unmanned Surface Vessel
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Reinforcement Learning-Based Optimal Tracking Control of an Unknown Unmanned Surface Vehicle
inferredcites →https://doi.org/10.1109/tnnls.2021.3056444openalex-extracted
Data-Driven Performance-Prescribed Reinforcement Learning Control of an Unmanned Surface Vehicle
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Data-Driven Interval Type-2 Neural Fuzzy System With High Learning Accuracy and Improved Model Interpretability
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Dynamics-Constrained Global-Local Hybrid Path Planning of an Autonomous Surface Vehicle
inferredcites →https://doi.org/10.1109/tvt.2021.3136670openalex-extracted
Autonomous Pilot of Unmanned Surface Vehicles: Bridging Path Planning and Tracking
inferredcites →https://doi.org/10.1115/omae2015-41912openalex-extracted
Validation of Ship Manoeuvring in Shallow Water Through Free-Running Tests
inferredcites →https://doi.org/10.1142/s0129065710002486openalex-extracted
AN ONLINE SELF-ORGANIZING SCHEME FOR PARSIMONIOUS AND ACCURATE FUZZY NEURAL NETWORKS
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Ship Model Identification with Genetic Algorithm Tuning
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A Novel Parameter Identification Algorithm for 3-DOF Ship Maneuvering Modelling Using Nonlinear Multi-Innovation
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Predicting Ship Trajectory Based on Neural Networks Using AIS Data
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