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-调查人员发布了关于马学习的新报告。根据来自德国萨尔布鲁肯的新闻，由News Rx记者报道，研究表明：“提出了一种改进的方法，用机器学习(ML)技术来测定铸态高铬铸铁（H CCI）合金中碳化物体积分数(CVF)。”这项研究的财政支持者包括德国研究基金会(DFG)、欧盟委员会的EFRE基金、萨尔州总理府。我们的新闻记者从萨尔兰大学的研究中获得了一句话，“讨论了现有公式在HCCI合金中的局限性，该公式依赖于有限的合金成分。”
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news originating from Saarbrucken, Germany, by News Rx correspondents, research stated, "An improved approach is presented for the e stimation of carbide volume fraction (CVF) in as-cast High Chromium Cast Iron (H CCI) alloys using Machine Learning (ML) techniques." Financial supporters for this research include German Research Foundation (DFG), EFRE Funds of the European Commission, State Chancellery of Saarland. Our news journalists obtained a quote from the research from Saarland University , "The limitations of existing formulae for CVF estimation in HCCI alloys, which relied on a limited number of alloy compositions, are addressed."
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