首页|North China Electric Power University Reports Findings in Machine Learning [Investigation of ash fusion characteristics on cocombustion of coal and biomass (straw, sludge, and herb residue) based on experimental and machine learning method]
North China Electric Power University Reports Findings in Machine Learning [Investigation of ash fusion characteristics on cocombustion of coal and biomass (straw, sludge, and herb residue) based on experimental and machine learning method]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsoriginating from Hebei, People’s Republic of China, by NewsRx correspondents, research stated, “Cocombustionof coal and biomass has the potential to reduce the cost of power generation in plants.However, because of the high content of the alkali metal of biomass ash, co-combustion of these two fuelsleads to unpredictable ash fusion temperature (AFT).”
HebeiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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