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What is Machine Learning in Ship Design Analysis about?

This conference paper presents a machine learning approach for preliminary ship design using data from over 1500 recycled vessels in Bangladesh. The study employs various ML algorithms to predict key ship parameters based on length overall and design speed, aiming to improve accuracy and efficiency in the early design phase. The findings indicate that these models can significantly enhance the ship design process compared to traditional methods, which rely on outdated empirical formulas.

Author

islamfahad312

Language

EN