DocumentCode
535544
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
fYear
2010
fDate
Aug. 31 2010-Sept. 3 2010
Firstpage
1
Lastpage
6
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Universities Power Engineering Conference (UPEC), 2010 45th International
Conference_Location
Cardiff, Wales
Print_ISBN
978-1-4244-7667-1
Type
conf
Filename
5648871
Link To Document