Robotics & Machine Learning Daily News2024,Issue(Jul.2) :147-148.

Investigators at Changsha University of Science and Technology Report Findings i n Machine Learning (Machine Learning-based Study On the Mechanical Properties an d Embankment Settlement Prediction Model of Nickel-iron Slag Modified Soil)

长沙科技大学研究员报告机器学习(基于机器学习的镍铁渣改性土力学性能及路堤沉降预测模型研究)

Robotics & Machine Learning Daily News2024,Issue(Jul.2) :147-148.

Investigators at Changsha University of Science and Technology Report Findings i n Machine Learning (Machine Learning-based Study On the Mechanical Properties an d Embankment Settlement Prediction Model of Nickel-iron Slag Modified Soil)

长沙科技大学研究员报告机器学习(基于机器学习的镍铁渣改性土力学性能及路堤沉降预测模型研究)

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摘要

机器人与机器学习每日新闻的一位新闻记者兼新闻编辑-机器学习的最新研究结果已经发表。根据NewsRx记者来自中华人民共和国湖南的新闻报道,研究表明:“镍铁渣是我国工业过程的副产品,年产量为400000吨,被认为是一种工业废料,本研究通过调查镍铁渣的力学性能和作为路基填料的路用性能,探讨其合理利用。”国家自然科学基金(NSFC)、湖南省特殊环境道路工程重点实验室开放基金(长沙科技大学)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating from Hunan, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “Nickel-iron slag, a byproduct of industrial processes in China with an annual production ex ceeding 400,000 tons, is considered an industrial waste material. This study foc uses on the rational utilization of nickel-iron slag by investigating its mechan ical properties and road performance as a roadbed fill material.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Open Fund of Key Laboratory of Special Environ-ment Road Eng ineering of Hunan Province (Changsha University of Science Technology).

Key words

Hunan/People's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Nickel/Transition Elements/Changsha University of Science and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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