A practical cellular neural network (CNN) approximation to the Navier-Stokes equation describing viscous flow of incompressible fluids is presented here. The implementation of the CNN templates based on a finite-difference discretization scheme, including the double time-scale CNN dynamics and the treatment of various types of boundary conditions are explained. The operation of the continuous-time model is demonstrated through several examples.
|Number of pages||6|
|Publication status||Published - Dec 1 1994|
|Event||Proceedings of the 3rd IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94) - Rome, Italy|
Duration: Dec 18 1994 → Dec 21 1994
|Other||Proceedings of the 3rd IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94)|
|Period||12/18/94 → 12/21/94|
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