Stacked Generative Machine Learning Models for Fast Approximations of Steady-State Navier-Stokes Equations.
Shen WangMehdi NikfarJoshua C. AgarYaling LiuPublished in: CoRR (2021)
Keyphrases
- steady state
- machine learning models
- navier stokes equations
- machine learning algorithms
- spam filtering
- markov chain
- machine learning approaches
- boundary conditions
- limit theorems
- generative model
- explicit expressions
- product form
- operating conditions
- queue length
- learning models
- steady states
- predictive model
- unsupervised learning
- queueing model
- heavy traffic
- arrival rate
- queueing networks
- state dependent
- fluid model
- bayesian networks
- neural network
- learning algorithm