首页|New Machine Learning Findings from Tianjin University Outlined (Optimization of Kinetic Mechanism for Hydrogen Combustion Based On Machine Learning)
New Machine Learning Findings from Tianjin University Outlined (Optimization of Kinetic Mechanism for Hydrogen Combustion Based On Machine Learning)
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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 originating in Tianjin, People’s Rep ublic of China, by NewsRx journalists, research stated, “The reduced mechanism b ased on the minimized reaction network method can effectively solve the rigidity problem in the numerical calculation of turbulent internal combustion engine. T he optimization of dynamic parameters of the reduced mechanism is the key to rep roduce the experimental data.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Key R&D Program of China.
TianjinPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningTianjin University
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