Title :
Layer recurrent neural network solution for an electromagnetic interference problem
Author :
Dan D. Micu;Levente Czumbil;Andrei Ceclan;Anca Mutu;Denisa Stet
Author_Institution :
Department of Electrical Engineering, Technical University of Cluj Napoca, 26 George Baritiu Street, 400027, Romania
Abstract :
The paper presents an artificial intelligence approach in electromagnetic interference study between high voltage power lines and metallic underground pipelines for different problem geometries. The presented artificial intelligence solution is a layer recurrent neural network one. Results gained with neural networks are compared to finite element solutions considered as standard ones.
Keywords :
"Recurrent neural networks","Electromagnetic interference","Neural networks","Pipelines","Artificial intelligence","Voltage","Artificial neural networks","Finite element methods","Geometry","Power systems"
Conference_Titel :
Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on
Print_ISBN :
978-1-4244-7059-4
DOI :
10.1109/CEFC.2010.5481648
