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-一项关于机器学习的新研究现在可用。根据新闻报道由NewsR X记者发起的一项研究表明：“缺氧是最基本的疾病之一。”对全球水资源质量的威胁，特别是对水资源更新有限的部分封闭流域，比如沿海的泻湖。本文提出了一种机械学习技术、现场学习技术和现场学习技术相结合的方法从水力和热交换数值模型中获得的观测数据和数据，以及提前10天预报，在富营养化的沿海泻湖中发生缺氧。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reportingoriginating in Florence, Italy, by NewsR x journalists, research stated, “Hypoxia is one of the fundamentalthreats to wa ter quality globally, particularly for partially enclosed basins with limited wa ter renewal,such as coastal lagoons. This work proposes the combined use of a m achine learning technique, fieldobservations, and data derived from a hydrodyna mic and heat exchange numerical model to predict, andforecast up to 10 days in advance, the occurrence of hypoxia in a eutrophic coastal lagoon.”
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