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A Priori Sub-grid Modelling Using Artificial Neural Networks
- Source :
- International Journal of Computational Fluid Dynamics. 34:397-417
- Publication Year :
- 2020
- Publisher :
- Informa UK Limited, 2020.
-
Abstract
- This paper presents results of Artificial Neural Networks (ANN) applications to sub-grid Large Eddy Simulation (LES) model. The training data for the ANN is provided by simulation of Homogeneous Is...
- Subjects :
- Statistics::Theory
Training set
Artificial neural network
Computer science
Mechanical Engineering
Computer Science::Neural and Evolutionary Computation
Computational Mechanics
Energy Engineering and Power Technology
Aerospace Engineering
Condensed Matter Physics
Grid
computer.software_genre
Physics::Fluid Dynamics
ComputingMethodologies_PATTERNRECOGNITION
Mechanics of Materials
Homogeneous
A priori and a posteriori
Data mining
GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries)
computer
Large eddy simulation
Subjects
Details
- ISSN :
- 10290257 and 10618562
- Volume :
- 34
- Database :
- OpenAIRE
- Journal :
- International Journal of Computational Fluid Dynamics
- Accession number :
- edsair.doi...........4129b0fdaf0a03df3b0b55dd5adad668
- Full Text :
- https://doi.org/10.1080/10618562.2020.1789116