Robotics & Machine Learning Daily News2024,Issue(Mar.14) :37-38.

Studies from Chalmers University of Technology Yield New Data on Machine Learnin g (Physics-informed Machine Learning Models for Ship Speed Prediction)

Robotics & Machine Learning Daily News2024,Issue(Mar.14) :37-38.

Studies from Chalmers University of Technology Yield New Data on Machine Learnin g (Physics-informed Machine Learning Models for Ship Speed Prediction)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating in Gothenburg, Sweden, b y NewsRx journalists, research stated, “This paper proposes a novel physics-info rmed machine learning method to build grey-box model (GBM) predicting ship speed for ocean crossing ships. In this method, the expected ship speed in calm water is first modeled by the physics-informed neural networks (PINNs) based on speed -power model tests.” Financial supporters for this research include Swedish Transport Administration, Vinnova, Swedish Foundation for International Cooperation in Research and Highe r Education, Fundamental Research Funds for the Central Universities.

Key words

Gothenburg/Sweden/Europe/Cyborgs/Eme rging Technologies/Machine Learning/Chalmers University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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