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...
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| Format: | Final Year Project |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/167048 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | 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. |
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