Neural networks in air turbulence modelling
31,60 €*
Sofort verfügbar, Lieferzeit: 1-3 Tage
Produktnummer:
9786205434710
Local and integral (corrective, correcting Abramovich-Sekundov and Spalart-Allmaras models) neural network models of turbulent viscosity are proposed, showing intermediate accuracy results between one-parameter and two-parameter models. A new algorithm for controlling the numerical calculation error in some typical problems of aerodynamics has been proposed. Its effectiveness on a number of problems is shown. The algorithm is based on the application of particle indicators and uses the particle-in-cell method. The principles of data compression, representing physical quantities varying depending on some parameter, by constructing cluster-neural network descriptions, are proposed.
| Autor: | Pekunov, Vladimir |
|---|---|
| EAN: | 9786205434710 |
| Sprache: | Englisch Deutsch |
| Seitenzahl: | 52 |
| Produktart: | kartoniert, broschiert |
| Verlag: | Our Knowledge Publishing |
| Untertitel: | Correction models |
| Schlagworte: | Informatik Neural Networks data compression numerical modelling turbulence models error control |
| Größe: | 150 × 220 |
