Application of FE-based neural networks to dynamic problems

Author

Xu, Guohe ; Littlefair, Guy ; Penson, Richard ; Callan, Rob

Author_Institution

Syst. Eng. Fac., Southampton Univ., UK

Volume

3

fYear

1999

fDate

1999

Firstpage

1039

Abstract

Firstly, finite element based neural networks (FE-based NN) are introduced with a computational energy function and a variational formulation. Then, in order to apply FE based NN to dynamic problems, the ranges of value of three main parameters in the parallel algorithm of a FE-based NN are discussed. The parameters are: descent rate, size of the time step, and weights of the derivative of the unknown variable respectively. The Taguchi method is adopted in the numeric simulation. The main results of the simulation are presented

Keywords

Taguchi methods; finite element analysis; neural nets; parallel algorithms; FE based neural networks; Taguchi method; computational energy function; descent rate; dynamic problems; finite element based neural networks; parallel algorithm; time step; unknown variable; variational formulation; Artificial neural networks; Boundary conditions; Computational modeling; Concurrent computing; Equations; Finite element methods; Neural networks; Parallel algorithms; Potential energy; Power engineering and energy;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on

Conference_Location

Perth, WA

Print_ISBN

0-7803-5871-6

Type

conf

DOI

10.1109/ICONIP.1999.844679

Filename

844679