首页|Findings from New York University (NYU) Broaden Understanding of Machine Learnin g (Using Machine Learning To Predict Axial Pile Capacity)
Findings from New York University (NYU) Broaden Understanding of Machine Learnin g (Using Machine Learning To Predict Axial Pile Capacity)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting from Brooklyn, New York, by NewsRx journ alists, research stated, “Accurate estimation of the ultimate axial load bearing capacity of piles is necessary to ensure the safety of the supported structures and to prevent cost overruns. Traditional mechanics-based design methods do not always predict pile capacity accurately, or precisely, leaving room for improve ment.” Financial support for this research came from Institute of Design and Constructi on Foundation.
BrooklynNew YorkUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningNew York University (NYU)
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