首页|Research Conducted at Nanjing University of Science and Technology Has Updated O ur Knowledge about Machine Learning (Fuel Type Recognition of Ester Isomer Addit ives In Flames By Optical Diagnostics Coupled With Machine Learning Method)
Research Conducted at Nanjing University of Science and Technology Has Updated O ur Knowledge about Machine Learning (Fuel Type Recognition of Ester Isomer Addit ives In Flames By Optical Diagnostics Coupled With Machine Learning Method)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews originating from Nanjing, People’s Re public of China, by NewsRx correspondents, research stated,“Based on machine le arning models, an approach for the type recognition of oxygenated additives (est erisomers, i.e., methyl butyrate, methyl crotonate, ethyl acrylate, and ethyl a crylate) via optical diagnosticswas proposed. By utilizing optical diagnostic m ethods flame features were extracted, and three modelsincluding random forest ( RF), artificial neural network (ANN), and support vector machine (SVM), wereemp loyed to establish the relationship between flame images and oxygenated additive s.”
NanjingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningNanjing University of Scien ce and Technology
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