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Machine Learning for Crew Boat Design by vinay.tpf1508 is a document available to read on EtoBox.

What is Machine Learning for Crew Boat Design about?

This paper analyzes machine learning techniques to improve the Sea Margin (SM) design of crew boats by evaluating operational data and engine performance. Various machine learning methods, including Artificial Neural Networks and Random Forest, were employed to predict operational load conditions, achieving satisfactory SM values during different operational phases. The study aims to enhance ship design efficiency and accuracy in determining engine power under varying environmental conditions.

Author

vinay.tpf1508

Language

EN