Prediction of ship motion in waves using machine learning techniques

Ship motion prediction in waves is an important task for maritime operations, such as ship design, navigation, and offshore operations. In recent years, machine learning techniques have shown great potential in predicting ship motion in waves, due to their ability to handle complex and non-linear re...

Full description

Saved in:

Bibliographic Details
Main Author:	Tan, Jing Herng
Other Authors:	Liu Shukui
Format:	Final Year Project
Language:	English
Published:	Nanyang Technological University 2023
Subjects:	Engineering::Mechanical engineering
Online Access:	https://hdl.handle.net/10356/167048
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-167048
record_format	dspace
spelling	sg-ntu-dr.10356-1670482023-05-27T16:50:33Z Prediction of ship motion in waves using machine learning techniques Tan, Jing Herng Liu Shukui School of Mechanical and Aerospace Engineering skliu@ntu.edu.sg Engineering::Mechanical engineering Ship motion prediction in waves is an important task for maritime operations, such as ship design, navigation, and offshore operations. In recent years, machine learning techniques have shown great potential in predicting ship motion in waves, due to their ability to handle complex and non-linear relationships between variables. This report presents the attempt to generate a mathematical representation of an artificial neural network model that seeks to predict ship motions in waves. This study uses a dataset of ship parameters and motions in various wave conditions to auto-generate a prediction model. This model will then be examined to extract its individual layers’ mathematical relations, and combined to form the overall equation that governs the model’s predictions. Bachelor of Engineering (Mechanical Engineering) 2023-05-21T09:49:56Z 2023-05-21T09:49:56Z 2023 Final Year Project (FYP) Tan, J. H. (2023). Prediction of ship motion in waves using machine learning techniques. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167048 https://hdl.handle.net/10356/167048 en B142 application/pdf Nanyang Technological University
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	Engineering::Mechanical engineering
spellingShingle	Engineering::Mechanical engineering Tan, Jing Herng Prediction of ship motion in waves using machine learning techniques
description	Ship motion prediction in waves is an important task for maritime operations, such as ship design, navigation, and offshore operations. In recent years, machine learning techniques have shown great potential in predicting ship motion in waves, due to their ability to handle complex and non-linear relationships between variables. This report presents the attempt to generate a mathematical representation of an artificial neural network model that seeks to predict ship motions in waves. This study uses a dataset of ship parameters and motions in various wave conditions to auto-generate a prediction model. This model will then be examined to extract its individual layers’ mathematical relations, and combined to form the overall equation that governs the model’s predictions.
author2	Liu Shukui
author_facet	Liu Shukui Tan, Jing Herng
format	Final Year Project
author	Tan, Jing Herng
author_sort	Tan, Jing Herng
title	Prediction of ship motion in waves using machine learning techniques
title_short	Prediction of ship motion in waves using machine learning techniques
title_full	Prediction of ship motion in waves using machine learning techniques
title_fullStr	Prediction of ship motion in waves using machine learning techniques
title_full_unstemmed	Prediction of ship motion in waves using machine learning techniques
title_sort	prediction of ship motion in waves using machine learning techniques
publisher	Nanyang Technological University
publishDate	2023
url	https://hdl.handle.net/10356/167048
_version_	1772825904313008128

Prediction of ship motion in waves using machine learning techniques

Similar Items