摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑-每日新闻-关于机器学习的最新研究结果已经发表。根据来自印度马德赖的新闻，NEWSRX记者报道，研究表明：“选择能同时有效优化多个目标的设计是几个不同CT行业的一个重要问题。通常情况下，不存在单一的理想设计，而是有几个pareto最优设计，可以在目标之间提供最佳的权衡。”这项研究的资助机构包括科学及工程研究委员会(SERB)、科学及工程研究委员会(SERB)，透过"卓越研究教师助理(TARE)"计划。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published. According to news originating from Madurai, India, by N ewsRx correspondents, research stated, "Selecting designs that efficiently optim ize multiple objectives simultaneously is an important problem in several distin ct industries. Typically, there is not a single ideal design; rather, there are several Pareto-optimal designs that provide the best possible trade-offs between the objectives." Financial supporters for this research include Science and Engineering Research Board (SERB), Science and Engineering Research Board (SERB) through the "Teacher s Associate for Research Excellence (TARE)" scheme.
NETL
NSTL