DocumentCode
562409
Title
Application of neural networks to the non-stationary heat conductivity problems
Author
Trushevskyy, Valeriy
Author_Institution
Ivan Franko Nat. Univ. of Lviv, Lviv, Ukraine
fYear
2012
fDate
21-24 Feb. 2012
Firstpage
373
Lastpage
373
Abstract
The paper is devoted to application of recurrent artificial neural networks to solution of non-stationary heat conductivity problems. A recurrent neural network has been constructed for implementation of the multi-grid method. Space-time discretization of the problem was established using the projective-grid scheme of the finite element method (FEM).
Keywords
finite element analysis; neural nets; parabolic equations; partial differential equations; physics computing; thermal conductivity; FEM; artificial neural networks; finite element method; multigrid method; nonstationary heat conductivity problems; projective grid scheme; recurrent ANN; space-time discretization; Conductivity; Heating; delamination; evolutionary algorithms; finite element method; unilateral contact; variational inequalities;
fLanguage
English
Publisher
ieee
Conference_Titel
Modern Problems of Radio Engineering Telecommunications and Computer Science (TCSET), 2012 International Conference on
Conference_Location
Lviv-Slavske
Print_ISBN
978-1-4673-0283-8
Type
conf
Filename
6192629
Link To Document