首页|New Machine Learning Findings from Hunan University Discussed (Investigating the Effect of Fuel Properties and Environmental Parameters On Low-octane Gasoline-l ike Fuel Spray Combustion and Emissions Using Machine Learning-global Sensitivity ...)
New Machine Learning Findings from Hunan University Discussed (Investigating the Effect of Fuel Properties and Environmental Parameters On Low-octane Gasoline-l ike Fuel Spray Combustion and Emissions Using Machine Learning-global Sensitivity ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting from Changsha, People’s Republic of China, by NewsRx journalists, research stated, “The gasoline compression ignition mode is an advanced combustion mode that achieves high efficiency with low emi ssions. This study constructs a global sensitivity analysis (GSA) by coupling ma chine learning (ML) algorithms and conducts a comprehensive investigation into t he statistical correlations between research octane number (RON), fuel sensitivity (S), three initial ambient parameters, and the spray combustion characteristics of gasoline-like fuels.”
ChangshaPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningHunan University
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