A supervised machine learning approach for predicting variable drag forces on spherical particles in suspension

标题
A supervised machine learning approach for predicting variable drag forces on spherical particles in suspension
作者
关键词
Supervised machine learning (SML), Artificial neural networks (ANN), Particle resolved simulations (PRS), Direct numerical simulations (DNS), Discrete element method (DEM)
出版物
POWDER TECHNOLOGY
Volume 345, Issue -, Pages 379-389
出版商
Elsevier BV
发表日期
2019-01-06
DOI
10.1016/j.powtec.2019.01.013

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