DocumentCode :
2547603
Title :
Analysis of electromagnetic interference problems proposed to be through an innovative Monte Carlo - Neural Network method
Author :
Micu, Dan D. ; Czumbil, Levente ; Polycarpou, A.C. ; Ceclan, Andrei ; Cimpan, Liliana
Author_Institution :
Dept. of Electr. Eng., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
fYear :
2010
fDate :
7-10 Nov. 2010
Firstpage :
1
Lastpage :
6
Abstract :
This paper analyzes an electromagnetic interference problem and proposes an original approach using a combination of Monte Carlo Method and Neural Network Techniques. A simple electrostatic problem is resolved to test the proposed method. Obtained esults are compared with analytical ones to establish the effectiveness and applicability of the method.
Keywords :
Monte Carlo methods; electromagnetic interference; neural nets; Monte Carlo method; electromagnetic interference; neural network technique; Monte Carlo method; Neural Networks; electromagnetic interference;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Power Generation, Transmission, Distribution and Energy Conversion (MedPower 2010), 7th Mediterranean Conference and Exhibition on
Conference_Location :
Agia Napa
Type :
conf
DOI :
10.1049/cp.2010.0939
Filename :
5716017
Link To Document :
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