首页|Researchers from Chinese Academy of Sciences Report New Studies and Findings in the Area of Machine Learning (Evaluating Thermal Conductivity of Soil-rock Mixtu res In Qinghai-tibet Plateau Based On Theory Models and Machine Learning Methods)
Researchers from Chinese Academy of Sciences Report New Studies and Findings in the Area of Machine Learning (Evaluating Thermal Conductivity of Soil-rock Mixtu res In Qinghai-tibet Plateau Based On Theory Models and Machine Learning Methods)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-A new study on Machine Learning is now available. According to news reporting out of Gansu, People's Republic of China, by NewsRx editors, research stated, "The thermal property of the scum layer (soil-rock mi xtures) has dominant influence on the heat exchange efficiency between the lower rock layer and the upper environment in the open-pit mines of the cold regions. This paper presents a series of thermal conductivity tests (560 samples) on the scum particle to investigate the coupling effects of ice (moisture) content, te mperature, and particle size distribution on the thermal properties." Financial supporters for this research include National Key R & D Program of China, National Natural Science Foundation of China (NSFC), Western Y oung Scholars project of Chinese Academy of Sciences of China, Gansu province of China, Science and Technology program of Gansu Province.
GansuPeople's Republic of ChinaAsiaAlgorithmsCyborgsEmerging TechnologiesMachine LearningChinese Academy o f Sciences
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