首页|New Findings Reported from Tallinn University of Technology De- scribe Advances in Machine Learning (Machine Learning Enabled Identification of Sheet Metal Localization)
New Findings Reported from Tallinn University of Technology De- scribe Advances in Machine Learning (Machine Learning Enabled Identification of Sheet Metal Localization)
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NETL
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Elsevier
2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting out of Tallinn, Estonia, by NewsRx editors, research stated, “The Forming Limit Curve (FLC), which describes the maximum applicable strain before localization, depends the particular material, but also on the applied load and history of the load. Recent investigations have shown that the non-proportional loading effect on the FLC can be predicted with data-driven or machine-learning based methods.” Financial support for this research came from Estonian Research Council.
TallinnEstoniaEuropeCyborgsEmerging TechnologiesMachine LearningTallinn University of Technology
NETL
NSTL
Elsevier
