Robotics & Machine Learning Daily News2024,Issue(Aug.20) :38-39.

Findings from Nanjing Tech University Broaden Understanding of Machine Learning (A Hybrid Approach Combining Mechanismguided Data Augmentation and Machine Lear ning for Biomass Pyrolysis)

Robotics & Machine Learning Daily News2024,Issue(Aug.20) :38-39.

Findings from Nanjing Tech University Broaden Understanding of Machine Learning (A Hybrid Approach Combining Mechanismguided Data Augmentation and Machine Lear ning for Biomass Pyrolysis)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating from Nanjing, P eople’s Republic of China, by NewsRx correspondents, researchstated, “Process a ccuracy modelling requires comprehensive thermodynamics and kinetic knowledge, which is not feasible for complex biomass pyrolysis. Here, we propose a hybrid mo delling strategy thatcombines mechanismguided modelling (Aspen Plus) with data- driven machine learning (ML) models toaccurately predict biomass pyrolysis prod ucts.”

Key words

Nanjing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Nanjing Tech University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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