Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/149799
Title: Prediction of ship added resistance in waves using an artificial neural network
Authors: Thangamuthu, Vijayazhagan
Keywords: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Engineering::Mechanical engineering
Issue Date: 2021
Publisher: Nanyang Technological University
Source: 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
Project: B304
Abstract: 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.
URI: https://hdl.handle.net/10356/149799
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:MAE Student Reports (FYP/IA/PA/PI)

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