首页|Reports Summarize Artificial Intelligence Study Results from University of Western Ontario [Artificial Intelligence for Hybrid Modeling in Fluid Catalytic Cracking (FCC)]
Reports Summarize Artificial Intelligence Study Results from University of Western Ontario [Artificial Intelligence for Hybrid Modeling in Fluid Catalytic Cracking (FCC)]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intelligence are discussed in a new report. According tonews reporting out of London, Canada, by NewsRx editors, research stated, “This study reports a novelhybrid model for the prediction of six critical process variables of importance in an industrial-scale FCC(fluid catalytic cracking) riser reactor: vacuum gas oil (VGO) conversion, outlet riser temperature, lightcycle oil (LCO), gasoline, light gases, and coke yields.”
University of Western OntarioLondonCanadaNorth and Central AmericaArtificial IntelligenceEmerging TechnologiesMachine Learning