首页|Study Results from University of Electronic Science and Technology of China Provide New Insights into Machine Learning (Selective Maintenance Optimization Under Limited Maintenance Capacities: a Machine Learning-enhanced Approximate Dynamic ...)
Study Results from University of Electronic Science and Technology of China Provide New Insights into Machine Learning (Selective Maintenance Optimization Under Limited Maintenance Capacities: a Machine Learning-enhanced Approximate Dynamic ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting from Chengdu, People’s Republic of China, by NewsRx journalists, research stated, “Selective maintenance, as a prevalent maintenance policy for engineered systems under limited maintenance resources, has been widely adopted in industrial and military settings. Most existing works on selective maintenance only considered limited consumable resource s, such as time and budget.”
ChengduPeople’s Republic of ChinaAsiaCyborgsDynamic ProgrammingEmerging TechnologiesMachine LearningUniversity of Electronic Science and Technology of China