Data on Machine Learning Reported by Researchers at University of Science and Te chnology Beijing (Machine Learning Design of 400 Mpa Grade Biodegradable Zn-mn B ased Alloys With Appropriate Corrosion Rates)
Data on Machine Learning Reported by Researchers at University of Science and Te chnology Beijing (Machine Learning Design of 400 Mpa Grade Biodegradable Zn-mn B ased Alloys With Appropriate Corrosion Rates)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Machine Learning are discussed in a new report. According to newsoriginating from Beijing, Peopl e’s Republic of China, by NewsRx correspondents, research stated, “Thecommonly used trial-and-error method of biodegradable Zn alloys is costly and blindness. In this study,based on the self-built database of biodegradable Zn alloys, two machine learning models are establishedby the first time to predict the ultimat e tensile strength (UTS) and immersion corrosion rate (CR) ofbiodegradable Zn a lloys.”
Key words
Beijing/People’s Republic of China/Asi a/Alloys/Cyborgs/Emerging Technologies/Machine Learning/University of Scien ce and Technology Beijing
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