Application of FE-based neural networks to dynamic problems

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.