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The accurate calculation of the current densities induced in soil by HV transmission lines in normal and fault conditions is one of the most important steps for the study of the electromagnetic interference between transmission lines and underground metallic structures (i.e. metallic gas pipelines). New analytical formulas for the induced current densities in the two-layer soil case are derived. In the second part of the paper, the author's contribution relates to the exposure and implementation in an original approach of a robust neural network for the study of electromagnetic interferences between high voltage power lines and metallic underground pipelines, for complex constructive geometries. The results obtained with neural networks are compared to the finite element solutions considered as standard ones. Our contribution relates to the implementation of the neural network AI technique, to the study of electromagnetic interference problems and the testing of the neural networks used in the studied case.