Prediction of ship added resistance in waves using an artificial neural network

Ship resistance is one of the major components of the ship which hampers its motion. This resistance value experienced by a ship should be known and overcome for the efficient operation of a vessel. This project presents a model to predict added wave resistance experienced through the aid of a Keras...

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Bibliographic Details
Main Author:	Thangamuthu, Vijayazhagan
Other Authors:	Liu Shukui
Format:	Final Year Project
Language:	English
Published:	Nanyang Technological University 2021
Subjects:	Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Engineering::Mechanical engineering
Online Access:	https://hdl.handle.net/10356/149799
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Institution:	Nanyang Technological University
Language:	English

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spelling	sg-ntu-dr.10356-1497992021-05-20T08:31:23Z Prediction of ship added resistance in waves using an artificial neural network Thangamuthu, Vijayazhagan Liu Shukui School of Mechanical and Aerospace Engineering skliu@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Engineering::Mechanical engineering Ship resistance is one of the major components of the ship which hampers its motion. This resistance value experienced by a ship should be known and overcome for the efficient operation of a vessel. This project presents a model to predict added wave resistance experienced through the aid of a Keras sequential artificial neural network. The model is trained with different parameters to enhance its accuracy. A user interface is then linked to this model to attain user inputs and predict the added wave resistance experienced by sea-going vessels. Bachelor of Engineering (Mechanical Engineering) 2021-05-20T08:31:23Z 2021-05-20T08:31:23Z 2021 Final Year Project (FYP) Thangamuthu, V. (2021). Prediction of ship added resistance in waves using an artificial neural network. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149799 https://hdl.handle.net/10356/149799 en B304 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::Computer science and engineering::Computing methodologies::Artificial intelligence Engineering::Mechanical engineering
spellingShingle	Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Engineering::Mechanical engineering Thangamuthu, Vijayazhagan Prediction of ship added resistance in waves using an artificial neural network
description	Ship resistance is one of the major components of the ship which hampers its motion. This resistance value experienced by a ship should be known and overcome for the efficient operation of a vessel. This project presents a model to predict added wave resistance experienced through the aid of a Keras sequential artificial neural network. The model is trained with different parameters to enhance its accuracy. A user interface is then linked to this model to attain user inputs and predict the added wave resistance experienced by sea-going vessels.
author2	Liu Shukui
author_facet	Liu Shukui Thangamuthu, Vijayazhagan
format	Final Year Project
author	Thangamuthu, Vijayazhagan
author_sort	Thangamuthu, Vijayazhagan
title	Prediction of ship added resistance in waves using an artificial neural network
title_short	Prediction of ship added resistance in waves using an artificial neural network
title_full	Prediction of ship added resistance in waves using an artificial neural network
title_fullStr	Prediction of ship added resistance in waves using an artificial neural network
title_full_unstemmed	Prediction of ship added resistance in waves using an artificial neural network
title_sort	prediction of ship added resistance in waves using an artificial neural network
publisher	Nanyang Technological University
publishDate	2021
url	https://hdl.handle.net/10356/149799
_version_	1701270516423196672

Prediction of ship added resistance in waves using an artificial neural network

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