Artificial neural network method for solving the Navier–Stokes equations-Reference-Cited by-同舟云学术

Artificial neural network method for solving the Navier–Stokes equations

Published:2014-10-30 Issue:4 Volume:26 Page:765-773
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Baymani M.,Effati S.,Niazmand H.,Kerayechian A.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-014-1762-2.pdf

Reference10 articles.

1. Christiano V, Smarandache F (2008) An exact mapping from Navier–Stokes equation to Schrodinger equation via Riccati equation. Prog Phys 1:38–39

2. Dongyang S, Jincheng R et al (2009) A new second order nonconforming mixed finite element scheme for the stationary Stokes and Navier–Stokes equations. Appl Math Comput 207:462–477

3. Effati S, pakdaman M (2010) Artificial neural network approach for solving fuzzy differential equations. Inf Sci 180:1434–1457

4. Erdogan ME, Imrak CE (2009) An analytical solution of the Navier–Stokes equation for flow over a moving plate bounded by two side walls. J Mech Eng 55(12):749–754

5. Hayati M, Karami B (2007) Feed forward neural network for solving partial differential equations. J Appl Sci 7(19):2812–2817

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