首页|Reports from Delft University of Technology Describe Recent Advances in Machine Learning (Constrained Infinitesimal Dipole Modeling-assisted Ensemble Prediction of Embedded Element Patterns Via Machine Learning)
Reports from Delft University of Technology Describe Recent Advances in Machine Learning (Constrained Infinitesimal Dipole Modeling-assisted Ensemble Prediction of Embedded Element Patterns Via Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingout of Delft, Netherlands, by News Rx editors, research stated, “A novel ensemble prediction technique isintroduce d to enhance the accuracy of far-field embedded element pattern (EEP) prediction under mutualcoupling (MC) effects, while relaxing the training data size chall enge in neural network (NN)-basedalgorithms.”
DelftNetherlandsEuropeCyborgsEme rging TechnologiesMachine LearningDelft University of Technology
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