Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/149799
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dc.contributor.authorThangamuthu, Vijayazhaganen_US
dc.date.accessioned2021-05-20T08:31:23Z-
dc.date.available2021-05-20T08:31:23Z-
dc.date.issued2021-
dc.identifier.citationThangamuthu, 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/10356/149799en_US
dc.identifier.urihttps://hdl.handle.net/10356/149799-
dc.description.abstractShip 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.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.relationB304en_US
dc.subjectEngineering::Computer science and engineering::Computing methodologies::Artificial intelligenceen_US
dc.subjectEngineering::Mechanical engineeringen_US
dc.titlePrediction of ship added resistance in waves using an artificial neural networken_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorLiu Shukuien_US
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.description.degreeBachelor of Engineering (Mechanical Engineering)en_US
dc.contributor.supervisoremailskliu@ntu.edu.sgen_US
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Appears in Collections:MAE Student Reports (FYP/IA/PA/PI)
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