首页|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)
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)
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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).
HunanPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningNickelTransition ElementsChangsha University of Science and Technology
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