Electromagnetic interferences between HV power lines and metallic pipelines evaluated with neural network technique

The paper presents the development of a neural network for a study case of an electromagnetic interference between high voltage power lines and metallic underground pipelines, for various constructive geometries. Results gained with neural networks are compared to the finite element solutions considered as standard ones. Our contribution relates to the implementation and test of the neural network technique, to the study of electromagnetic interference in the studied case.