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Comparison of Machine Learning Models Based on Different Ship Hull Form Representations for Hydrodynamic Performance Prediction

Year: 2026

Type: article

Source: Journal of the Society of Naval Architects of Korea

DOI: 10.3744/snak.2026.63.5.343

Authors: Yoo-Chul Kim, Byung-Jin Byun, Seongmo Yeon, Seok-Hwan Oh, Kwang-Soo Kim, Kyung-Kyu Yang, Seung-Hyun Hwang

Language: English

Topic: Ship Hydrodynamics and Maneuverability

Subfield: Ocean Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W7221805012

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