首页|Study Results from Chinese Academy of Sciences Provide New Insights into Machine Learning (Machine Learning-enabled Prediction of High-temperature Oxidation Res istance for Ni-based Alloys)

Study Results from Chinese Academy of Sciences Provide New Insights into Machine Learning (Machine Learning-enabled Prediction of High-temperature Oxidation Res istance for Ni-based Alloys)

扫码查看
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Zhejiang, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Amachine learning ( ML) model was developed to predict the oxidation resistance, with the natural lo garithmof the parabolic rate constant (ln k p ) as the output.”

ZhejiangPeople’s Republic of ChinaAs iaAlloysCyborgsEmerging TechnologiesMachine LearningChinese Academy of Sciences

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jul.15)