首页|Investigators from Imperial College London Zero in on Machine Learning (Predicti ng the Effect of Hydrogen Enrichment On the Flame Describing Function Using Mach ine Learning)
Investigators from Imperial College London Zero in on Machine Learning (Predicti ng the Effect of Hydrogen Enrichment On the Flame Describing Function Using Mach ine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from London, United Kingdom , by NewsRx correspondents, research stated, “As a promisingstrategy to mitigat e carbon emissions, hydrogen enrichment of conventional fuels is gaining increasing interest, but can lead to increased propensity to damaging thermoacoustic in stability. This paperdemonstrates the ability of machine learning algorithms to reliably predict a key flame behavior relevantto thermoacoustic stability pred iction - the flame’s nonlinear response to upstream acoustic forcing.”
LondonUnited KingdomEuropeCyborgsElementsEmerging TechnologiesGasesHydrogenInorganic ChemicalsMachine LearningImperial College London
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