首页|Findings from Rutgers University - The State University of New Jersey Provides N ew Data on Machine Learning (Semi-mechanistic Prediction and Optimization of Res idence Time Metrics of a Starvefed Extruder Via a Hybrid Machine-learning …)
Findings from Rutgers University - The State University of New Jersey Provides N ew Data on Machine Learning (Semi-mechanistic Prediction and Optimization of Res idence Time Metrics of a Starvefed Extruder Via a Hybrid Machine-learning …)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating in Piscataway, New Jerse y, by NewsRx journalists, research stated, “This study addressesthe challenge o f determining mixing dynamics, such as the residence time distribution (RTD) and relativestandard deviation (RSD) of a system, which usually require tedious ex perimental setups or computationallyintensive models. A reduced order model (RO M) in the form of a machine-learning-based convectiondiffusionmodel was develo ped for the computationally efficient prediction of mixing metrics.”
PiscatawayNew JerseyUnited StatesN orth and Central AmericaCyborgsEmerging TechnologiesMachine LearningRutg ers University - The State University of New Jersey
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