摘要
由一名新闻记者兼机器人与机器学习的新闻编辑每日新闻-调查人员发布了关于马学习的新报告。根据NewsRx记者从长沙发回的新闻报道，研究表明：“粒度分布(PSD)是粒状材料的一个重要指标特性，传统的机械筛法测定PSD费时费力，效率低。”本研究的资助机构包括国家青年科学基金、国家自然科学基金(NSFC)、国家重点研究开发项目、中国铁路科学院重点研究开发项目、教育部重载铁路工程结构重点实验室开放基金（中南大学）、国立中南大学中央大学研究基金。
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 reporting originating in Changsha, People’s Re public of China, by NewsRx journalists, research stated, “Particle size distribu tion (PSD) is an important index property of granular materials. The conventiona l mechanical sieve analysis for PSD determination is labor-intensive, time-consu ming, and inefficient.” Financial supporters for this research include National Science Fund for Disting uished Young Scholars, National Natural Science Foundation of China (NSFC), Nati onal Key R & D Program of China, Key R & D Program o f Chinese Academy of Railway Sciences, Open Foundation of MOE Key Laboratory of Engineering Structures of Heavy Haul Railway (Central South University), Fundame ntal Research Funds for the Central Universities of Central South University, Ch ina.
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