首页|Investigators from Henan University Target Machine Learning (Predicting Wear Res istance of High-carbon Cr-v Alloy Steel Based On Machine Learning)
Investigators from Henan University Target Machine Learning (Predicting Wear Res istance of High-carbon Cr-v Alloy Steel Based On Machine Learning)
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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 Luoyang, People’s Republic of China , by NewsRx journalists, research stated, “The microstructure of Cr-V wear-resis tant alloy steel was characterized by its complexity, with the evaluation of its wear resistance exhibiting multidimensional, strongly coupled, and nonlinear at tributes. Contrary to the conventional research paradigm that relied on microstr ucture analysis and performance comparison, accurate prediction of wear resistan ce based on data-driven approaches was found to significantly expedite the resea rch and development process for materials.” Financial support for this research came from National Key R & D P ro-gram of China.
LuoyangPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningHenan University
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