Research on Accurate Prediction of the Container Ship Resistance by RBFNN and Other Machine Learning Algorithms

Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control

(2019) Jean Rabault et al.   JOURNAL OF FLUID MECHANICS

Machine learning models for predicting ship main engine Fuel Oil Consumption: A comparative study

(2019) Christos Gkerekos et al.   OCEAN ENGINEERING

A modified admiralty coefficient for estimating power curves in EEDI calculations

(2018) Haiwen Tu et al.   OCEAN ENGINEERING

An inverse design method for body surface of given target pressure distribution

(2018) Haiwen Tu et al.   OCEAN ENGINEERING

Convolutional Neural Network Based on Extreme Learning Machine for Maritime Ships Recognition in Infrared Images

(2018) Atmane Khellal et al.   SENSORS

Deep learning of vortex-induced vibrations

(2018) Maziar Raissi et al.   JOURNAL OF FLUID MECHANICS

Ship roll motion prediction based on ℓ1 regularized extreme learning machine

(2018) Binglei Guan et al.   PLoS One

Ship localization in Santa Barbara Channel using machine learning classifiers

(2017) Haiqiang Niu et al.   JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA

Prediction of ship resistance in level ice based on empirical approach

(2017) Seong-Yeob Jeong et al.   International Journal of Naval Architecture and Ocean Engineering

Physics-informed machine learning approach for reconstructing Reynolds stress modeling discrepancies based on DNS data

(2017) Jian-Xun Wang et al.   Physical Review Fluids

Reynolds averaged turbulence modelling using deep neural networks with embedded invariance

(2016) Julia Ling et al.   JOURNAL OF FLUID MECHANICS

Model and Algorithm of BP Neural Network Based on Expanded Multichain Quantum Optimization

(2015) Baoyu Xu et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

ONLINE GREY PREDICTION OF SHIP ROLL MOTION USING VARIABLE RBFN

(2013) Jian-Chuan Yin et al.   APPLIED ARTIFICIAL INTELLIGENCE

Predicting the helpfulness of online reviews using multilayer perceptron neural networks

(2013) Sangjae Lee et al.   EXPERT SYSTEMS WITH APPLICATIONS

Trim Optimization of Ship by a Potential-Based Panel Method

(2013) Xujian Lv et al.   Advances in Mechanical Engineering

Verification and validation of numerical calculation of ship resistance and flow field of a large tanker

(2012) B. J. Guo et al.   Ships and Offshore Structures

A review of optimization methodologies in support vector machines

(2011) John Shawe-Taylor et al.   NEUROCOMPUTING