A machine learning-based method for prediction of ship performance in ice: Part I. ice resistance

A Numerical Ice Load Prediction Model Based on Ice-Hull Collision Mechanism

(2020) Meng Zhang et al.   Applied Sciences-Basel

Calculation Methods of Icebreaking Capability for a Double-Acting Polar Ship

(2020) Li Zhou et al.   Journal of Marine Science and Engineering

Prediction of ice resistance for ice-going ships in level ice using artificial neural network technique

(2020) Jeong-Hwan Kim et al.   OCEAN ENGINEERING

A machine learning-based method for simulation of ship speed profile in a complex ice field

(2019) Aleksandar-Saša Milaković et al.   Ships and Offshore Structures

Evaluation of selected state-of-the-art methods for ship transit simulation in various ice conditions based on full-scale measurement

(2018) Fang Li et al.   COLD REGIONS SCIENCE AND TECHNOLOGY

Experiments on navigating resistance of an icebreaker in snow covered level ice

(2018) Yan Huang et al.   COLD REGIONS SCIENCE AND TECHNOLOGY

An artificial neural network based decision support system for energy efficient ship operations

(2016) E. Bal Beşikçi et al.   COMPUTERS & OPERATIONS RESEARCH

Further study on level ice resistance and channel resistance for an icebreaking vessel

(2016) Jian Hu et al.   International Journal of Naval Architecture and Ocean Engineering

Experimental and numerical study on ice resistance for icebreaking vessels

(2015) Jian Hu et al.   International Journal of Naval Architecture and Ocean Engineering

A prediction method of ice breaking resistance using a multiple regression analysis

(2015) Seong-Rak Cho et al.   International Journal of Naval Architecture and Ocean Engineering

Numerical and experimental investigation of the resistance performance of an icebreaking cargo vessel in pack ice conditions

(2015) Moon-Chan Kim et al.   International Journal of Naval Architecture and Ocean Engineering

Comparative study on the resistance performance of an icebreaking cargo vessel according to the variation of waterline angles in pack ice conditions

(2015) Moon-Chan Kim et al.   International Journal of Naval Architecture and Ocean Engineering

An improvement in RBF learning algorithm based on PSO for real time applications

(2013) Vahid Fathi et al.   NEUROCOMPUTING

Development of effective model test in pack ice conditions of square-type ice model basin

(2013) Seong-Rak Cho et al.   OCEAN ENGINEERING

A hybrid algorithm to optimize RBF network architecture and parameters for nonlinear time series prediction

(2011) Min Gan et al.   APPLIED MATHEMATICAL MODELLING

Numerical simulation of moored structure station keeping in level ice

(2011) Li Zhou et al.   COLD REGIONS SCIENCE AND TECHNOLOGY

Learning-based ship design optimization approach

(2011) Hao Cui et al.   COMPUTER-AIDED DESIGN

A numerical model for real-time simulation of ship–ice interaction

(2010) Raed Lubbad et al.   COLD REGIONS SCIENCE AND TECHNOLOGY

Application of artificial neural networks to assessment of ship manoeuvrability qualities

(2008) Tomasz Abramowski   Polish Maritime Research

Investigation of various artificial neural networks techniques for the prediction of inland water units' resistance

(2008) Maged M. Abdel Naby et al.   Ships and Offshore Structures