首页|New Findings Reported from University of Tokyo Describe Advances in Machine Learning (Prediction of optimal control input in a fully developed turbulent channel flow by machine learning)
New Findings Reported from University of Tokyo Describe Advances in Machine Learning (Prediction of optimal control input in a fully developed turbulent channel flow by machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in artificial intelligence. According to news reporting outof the University of Tokyo by NewsRx editors, research stated, “In the present study, we optimize thespatio-temporal distribution of an artificial body force for reducing skin friction drag in a fully developedturbulent channel flow at a low frictional Reynolds number of 110. Specifically, by applying the optimalcontrol theory, the optimal body force distributions for minimizing the kinetic energy at the end of aprescribed time horizon are obtained for fifty independent uncontrolled initial fields.”
University of TokyoCyborgsEmerging TechnologiesMachine Learning
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