Details

Autor(en) / Beteiligte

• Micu, D D
• Czumbil, L
• Christoforidis, G
• Ceclan, A

Titel

Layer Recurrent Neural Network Solution for an Electromagnetic Interference Problem

Ist Teil von

• IEEE transactions on magnetics, 2011-05, Vol.47 (5), p.1410-1413

Ort / Verlag

New York, NY: IEEE

Erscheinungsjahr

2011

Quelle

IEEE Xplore

Beschreibungen/Notizen

• The paper presents an original contribution related to the implementation of a neural network artificial intelligence (AI) technique through Matlab environment, on the study of induced AC voltage in the underground metallic pipeline, due to nearby high voltage grids. The advantage yields in a simplified computation model compared to FEM, and implicitly a lower computational time. In comparison with other neural network solutions identified in the literature, where the induced AC potential is directly evaluated, the authors of this paper propose a new neural network solution to evaluate MVP on the studied domain, using a larger training database for a large panel of different geometries.