首页|Study Results from State University Update Understanding of Machine Learning (Su percritical Water Gasification Thermodynamic Study and Hybrid Modeling of Machin e Learning With the Ideal Gas Model: Application To Gasification of Microalgae . ..)
Study Results from State University Update Understanding of Machine Learning (Su percritical Water Gasification Thermodynamic Study and Hybrid Modeling of Machin e Learning With the Ideal Gas Model: Application To Gasification of Microalgae . ..)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Machine Learning are discussed in a new report. According to news reporting from Campinas, Brazil , by NewsRx journalists, research stated, "This study presents a hybrid modeling approach that combines a simplified phenomenological model with machine learnin g techniques for predicting variables in the microalgae biomass gasification pro cess in supercritical water (SCWG). The simplified phenomenological model, based on the Gibbs energy minimization methodology (minG) associated with the ideal g as model, exhibits significant deviations when compared to the actual behavior o f the process." Financial support for this research came from Fundacao de Amparo a Pesquisa do E stado de Sao Paulo (FAPESP).
CampinasBrazilSouth AmericaCyborgsEmerging TechnologiesMachine LearningState University
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