首页|Studies from Chalmers University of Technology Yield New Data on Machine Learnin g (Physics-informed Machine Learning Models for Ship Speed Prediction)
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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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.
GothenburgSwedenEuropeCyborgsEme rging TechnologiesMachine LearningChalmers University of Technology
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