Neural Network Evaluation of Electromagnetic Interferences between HV Power Lines and Underground Metallic Pipelines

Autor:	Micu Dan Doru, Czumbil, L., Ceclan, A., Simion, E., Stet, D., Cîmpan, L.
Jazyk:	angličtina
Rok vydání:	2009
Předmět:	high voltage power lines neural networks (NN) Computer Science::Neural and Evolutionary Computation lcsh:Electrical engineering. Electronics. Nuclear engineering electromagnetic interference lcsh:TK1-9971 pipelines
Zdroj:	Journal of Electrical and Electronics Engineering, Vol 2, Iss 1, Pp 73-78 (2009) Scopus-Elsevier
ISSN:	1844-6035
Popis:	This paper presents the use of neuralnetworks in the study of electromagnetic interferencesbetween high voltage power lines and metallicunderground pipelines, for various constructivegeometries. Results gained with neural networks arecompared to the finite element solutions considered asstandard ones. Our contribution relates to theimplementation of the neural network AI technique, tothe study of electromagnetic interference problems andthe testing of the neural networks used in the studiedcase.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::aa837b62538c498966e93e1e8bc46e30 Zobrazit plný text záznamu