Modeling almost incompressible fluid flow with CNN

Publikation: Beitrag zu KonferenzenPaperBeigetragenBegutachtung

Beitragende

  • F. Puffer - , Universitätsklinikum Frankfurt (Autor:in)
  • R. Tetzlaff - , Universitätsklinikum Frankfurt (Autor:in)
  • Dietrich Wolf - , Universitätsklinikum Frankfurt (Autor:in)

Abstract

A novel method for transferring the Navier-Stokes-equations for two-dimensional almost incompressible, viscous flow to CNN is discussed. The problem has been treated in previous works, where the CNN layer that represents the pressure had to perform on a much faster time-scale than the layers representing the velocity components. This is a drawback, especially when hardware realizations are considered. The method presented in this contribution avoids the use of a double time-scale CNN and requires fewer connections between the cells. The treatment of boundary conditions is discussed and the accuracy of the results is determined for two known analytical solutions.

Details

OriginalspracheEnglisch
Seiten78-82
Seitenumfang5
PublikationsstatusVeröffentlicht - 1998
Peer-Review-StatusJa
Extern publiziertJa

Konferenz

TitelProceedings of the 1998 5th IEEE International Workshop on Cellular Neural Networks and Their Applications, CNNA
Dauer14 - 17 April 1998
StadtLondon, UK

Externe IDs

ORCID /0000-0001-7436-0103/work/142240254

Schlagworte

ASJC Scopus Sachgebiete