Name
Abstract | ||
|---|---|---|
The approach to the convergence of Finite Elements based Neural Networks (FE-based NN) is proposed after the introduction of its architecture and algorithms with a variational formulation. The approach consists of the energy function formulation and the projection method from which the range of values of the descent rate is derived. In order to apply the FE-based NN to dynamic problems, the size of the time step and the weights of the derivative of the unknown variable in the algorithm of the FE-based NN are discussed. The simulations of the assembly of parameters are carried out. The main results of the simulations are presented. |
Year | Venue | Keywords |
|---|---|---|
2000 | ESM | fe-based nn |
Field | DocType | ISBN |
Convergence (routing),Applied mathematics,Mathematics | Conference | 1-56555-204-0 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guohe Xu | 1 | 0 | 0.34 |
| Guy Littlefair | 2 | 41 | 4.26 |
| Richard Penson | 3 | 0 | 0.34 |
| Graham King | 4 | 0 | 0.34 |