首页|Findings from Shenzhen University in the Area of Machine Learning Described (Nov el Machine Learning-driven Multi-objective Optimization Method for Edm Trajector y Planning of Distorted Closed Surfaces)
Findings from Shenzhen University in the Area of Machine Learning Described (Nov el Machine Learning-driven Multi-objective Optimization Method for Edm Trajector y Planning of Distorted Closed Surfaces)
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2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published. According to news reporting originating in Shenzhen, Pe ople's Republic of China, by NewsRx journalists, research stated, "Highly distor ted closed surfaces pose significant challenges for machining trajectory plannin g due to their intricate surface constraints and closed structures. Despite thes e challenges, components with such features are prevalent in industries like aer ospace." Financial support for this research came from Shenzhen Natural Science Fund (the Stable Support Plan Program).
ShenzhenPeople's Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningShenzhen University
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