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新闻调查人员讨论机器学习的新发现.据旁遮普的新闻报道，印度，由NewsRx记者，research说，“精确预测比磨损率(SWR)。”激光粉末床(LPBF)高温熔合制备AlSi10Mg成分是添加剂制造中的重要问题。本研究旨在通过以下几个方面来解决文学中的空白通过机器学习回归技术为SWR开发准确的预测模型"。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators discuss new findings in Machine Lea rning. According to news reporting from Punjab,India, by NewsRx journalists, re search stated, “Precisely predicting the Specific Wear Rate (SWR) ofAlSi10Mg co mponents produced using Laser Powder Bed Fusion (LPBF) at high temperatures, whi chis an essential concern in additive manufacturing. This study aims to address the gap in literature bydeveloping accurate predictive models for SWR via mach ine learning regression techniques.”
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