首页|Study Data from Polytechnic University Milan Provide New Insights into Machine L earning (Deposition Quality Optimization of Additive Friction Stir Deposited Alu minium Alloy Using Unsupervised Machine Learning)
Study Data from Polytechnic University Milan Provide New Insights into Machine L earning (Deposition Quality Optimization of Additive Friction Stir Deposited Alu minium Alloy Using Unsupervised Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators publish new report on artificial in telligence. According to news reporting out ofMilan, Italy, by NewsRx editors, research stated, “Additive friction stir deposition (AFSD) is a promisingsolid- state additive manufacturing technology, but achieving continuous high depositio n quality remainschallenging due to complex process-structure connections. This study investigates unsupervised machinelearning algorithms for mapping process parameters to deposition outcomes without requiring extensivelabelled data.”
Polytechnic University MilanMilanIta lyEuropeAlgorithmsCyborgsEmerging TechnologiesMachine Learning
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