Title :
Proposed Monte Carlo - Neural Network method for solving electromagnetic interference problems
Author :
Micu, Dan D. ; Czumbil, Levente ; Christoforidis, Giorgios ; Ceclan, Andrei
Author_Institution :
Electr. Eng. Dept., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
fDate :
Aug. 31 2010-Sept. 3 2010
Abstract :
This paper presents the study of an Electromagnetic interference problem between high voltage power line and metallic underground pipelines using a hybrid method. To easily implement this method for a large class of different construction geometries a combination of Monte Carlo and Neural Networks Techniques was proposed.
Keywords :
Monte Carlo methods; electromagnetic interference; high-voltage techniques; neural nets; pipelines; underground transmission systems; Monte Carlo-neural network method; electromagnetic interference problems; high voltage power line; hybrid method; metallic underground pipelines; Artificial neural networks; Cathode ray tubes; Silicon; Monte Carlo method; electromagnetic interference; neural networks; pipelines; power line;
Conference_Titel :
Universities Power Engineering Conference (UPEC), 2010 45th International
Conference_Location :
Cardiff, Wales
Print_ISBN :
978-1-4244-7667-1
