摘要
由一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-机器学习的最新研究结果-支持向量机已经发表。根据NewsRx记者从中华人民共和国西安发来的消息，研究统计，"准确确定滴灌侧线沉积物的临界非沉积速度（C NDVS），对于解决因使用浑水而导致的滴灌管道沉积物沉积和堵塞问题至关重要。"本研究的资助单位包括国家自然科学基金(NSFC)、中国博士后科学基金。我们的新闻记者从西安理工大学的研究中获得了一句话："本文重点关注三个主要因素：中间粒径沉积物颗粒的百分比（P）、管径（D）和沉积物浓度（S），所有这些都对滴灌地区的CNDV有显著影响。"
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing - Support Vector Machines have been published. According to news originating from Xi’an, People’s Republic of China, by NewsRx correspondents, research stat ed, “Accurately determining the critical non-depositing velocity for sediment (C NDVS) in drip irrigation laterals is essential to address issues of sediment dep osition and clogging in drip irrigation pipes caused by the use of muddy water.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), China Postdoctoral Science Foundation. Our news journalists obtained a quote from the research from the Xi’an Universit y of Technology, “This paper focuses on three main factors: the percentage of in termediate-sized sediment particles (P), pipe diameter (D), and sediment concent ration (S), all of which significantly influence the CNDVS in drip irrigation la terals.”
NETL
NSTL