首页|New Machine Learning Study Results from Inner Mongolia University of Technology Described (Prediction of Coal Gangue Volcanic Ash Activity Based On Machine Lear ning)
New Machine Learning Study Results from Inner Mongolia University of Technology Described (Prediction of Coal Gangue Volcanic Ash Activity Based On Machine Lear ning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news originating from Hohhot, People’s Republic of China, by NewsRx correspondents, research stated, “Coal gangue (CG) as an suppl ementary material with cementitious properties to substitute for cement, not onl y reduces the energy consumed and carbon dioxide emitted in cement production, b ut also facilitates the resourceful use of CG waste. However, the raw CG’s low v olcanic ash reactivity and the instability of its potential pozzolanic substance content, the activation test process becomes both cumbersome and time-consuming .” Financial supporters for this research include Central Guidance Fund for Local S cience and Technology Development, Doctoral Fund Project of Inner Mongolia Unive rsity of Technology, Ordos Key RD Pro-gram.
HohhotPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningInner Mongolia University of Technology
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