摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员讨论机器学习的新发现。根据新闻报道在波兰格但斯克，NewsRx Edi Tors的研究表明，“这篇论文比较了这种方法的有效性。”选定Mac Hine学习方法作为支持新产品包装类型选择的建模工具产品开发过程。开发的模型的主要目标是降低系统故障的风险为确保成品的安全性、耐久性和有效性而进行的相容性试验在其保质期和消费者使用的整个IOD。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingfrom Gdansk, Poland, by NewsRx edi tors, the research stated, “The paper compares the effectiveness ofselected mac hine learning methods as modelling tools supporting the selection of a packaging type in newproduct development process. The main goal of the developed model i s to reduce the risk of failure incompatibility tests which are preformed to en sure safety, durability, and efficacy of the finished productfor the entire per iod of its shelf life and consumer use.”
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