论文信息 - A double time-scale CNN for solving 2-D Navier-Stokes equations

A double time-scale CNN for solving 2-D Navier-Stokes equations

A practical cellular neural network (CNN) approximation to the Navier Stokes equation describing viscous flow of incompressible fluids is presented. 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.<<ETX>>

T. Roska | T. Kozek

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