首页|New Data from University of Science and Technology Beijing Illuminate Findings i n Machine Learning (A Novel Multidimensional Hybrid Machine Learning Model for C o2 Injection To Separate Coalbed Methane: Comprehensive Prediction of ...)
New Data from University of Science and Technology Beijing Illuminate Findings i n Machine Learning (A Novel Multidimensional Hybrid Machine Learning Model for C o2 Injection To Separate Coalbed Methane: Comprehensive Prediction of ...)
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Investigators publish new report on Ma chine Learning. According to news reporting originating from Beijing, People's R epublic of China, by NewsRx correspondents, research stated, "In the process of replacing coal seam CH4 with CO2, the CH4 diffusion rate, production, and CO2 st orage determine the effectiveness of the replacement. Predicting the changes in CH4 diffusion rates, production, and CO2 sequestration during the CO(2 )injectio n process in coal beds, based on historical data, presents a highly nonlinear ch allenge influenced by various gas injection parameters." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Key RD Program.
BeijingPeople's Republic of ChinaAsiaAlkanesCyborgsEmerging TechnologiesMachine LearningMethaneSupport V ector MachinesUniversity of Science and Technology Beijing
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