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-机器学习的新数据在一份新的报告中提供。根据NewsRx记者从沈阳发回的新闻报道，研究表明：“应用机器学习(ML)算法来解释透水层的水温动态是目前研究的热点，但由于传统采样程序的现场温度测量数量有限，大多数相关的研究都是基于机器学习的。”"限制了他们在地表内的分析,很少检查整个深度剖面的结果."国家自然科学基金(NSFC)、辽宁省博士研究生创业基金项目为本研究提供资金支持。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating from Shenyang, P eople's Republic of China, by NewsRx correspondents, research stated, "It is now adays a hot topic to apply machine learning (ML) algorithms to illustrate water temperature dynamics in lentic waters. Due to the limited amount of in-situ temp erature measurements from traditional sampling programmes, most of the related s tudies, however, restricted their analysis within the surface and rarely checked the results for whole depth profiles." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Liaoning Provincial Doctoral Research Startup Fund Project.
NETL
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