首页|New Findings Reported from University of Oxford Describe Advances in Machine Learning (A New Gaussian Process Based Model for Non-linear Wave Loading On Vertical Cylinders)
New Findings Reported from University of Oxford Describe Advances in Machine Learning (A New Gaussian Process Based Model for Non-linear Wave Loading On Vertical Cylinders)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on Machine Learning have be en published. According to news reporting out of Oxford, United Kingdom, by News Rx editors, research stated, “We aim to establish a fast and accurate model for fast prediction of nonlinear loading on vertical cylinders such as are typically used for fixed offshore wind turbines. We follow a ‘Stokes -type’ force model and approximate the amplitude of the higher harmonics of force by relating these to the linear force time series raised to appropriate power through amplitude and phase coefficients.”
OxfordUnited KingdomEuropeCyborgsEmerging TechnologiesEngineeringGaussian ProcessesMachine LearningUniversity of Oxford
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