ARTIFICIAL NEURAL NETWORKS FOR FINITE-ELEMENT MODELING OF GIANT MAGNETOSTRICTIVE DEVICES

The author investigates the contribution of artificial neural networks to the improvement of giant magnetostrictive devices nonlinear modeli ng. In fact, the use of experimental data through artificial neural ne tworks modeling allows the introduction of the magnetostrictive coupli ng. The proposed model has been tested on a basic magnetostrictive act uator.