Abstract
An architecture of Finite Elements based Neural Networks (FE-based NN) and its algorithms for modeling dynamic problems is proposed in this paper. An energy-function-based methodology is applied to combining Finite Element Method (FEM) with an ANN topology. The FE-based NN consists mainly of two node-variable layers and one element-subnet layer. Unknown inputs of the network are updated during the iterations using an inversion technique with imposed boundary conditions. A modified Newmark method is adopted for solving the dynamic problems. Results of the simulation on dynamics show promising results.
| Original language | English |
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| Title of host publication | Proceedings of the 1999 Artificial Neural Networks in Engineering Conference (ANNIE '99) |
| Publisher | ASME International |
| Pages | 81-88 |
| Number of pages | 8 |
| Publication status | Published - 1999 |
| Externally published | Yes |
| Event | 1999 Artificial Neural Networks in Engineering Conference (ANNIE '99) - St. Louis, MO, USA Duration: 7 Nov 1999 → 10 Nov 1999 |
Conference
| Conference | 1999 Artificial Neural Networks in Engineering Conference (ANNIE '99) |
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| City | St. Louis, MO, USA |
| Period | 7/11/99 → 10/11/99 |