DocumentCode
2087970
Title
Artificial neural network for the inverse electromagnetic problem of system identification
Author
Arkadan, A.A. ; Chen, Y.
Author_Institution
Dept. of Electr. & Comput. Eng., Marquette Univ., Milwaukee, WI, USA
fYear
1994
fDate
10-13 Apr 1994
Firstpage
162
Lastpage
164
Abstract
An approach which is based on the use of artificial neural networks and finite element analysis is used to solve the inverse problem of system identification. The approach is used on a test problem to identify location, material and values of unknown sources within an inaccessible region. A comparison of actual and predicted values of the unknown parameters demonstrates the validity of this approach
Keywords
backpropagation; electrical engineering computing; electromagnetic devices; finite element analysis; identification; inverse problems; neural nets; artificial neural networks; backpropagation learning algorithm; finite element analysis; inverse electromagnetic problem; location identification; material identification; system identification; Artificial neural networks; Computational electromagnetics; Computer networks; Design optimization; Electromagnetic measurements; Electrostatic analysis; Finite element methods; Inverse problems; Materials testing; System identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Southeastcon '94. Creative Technology Transfer - A Global Affair., Proceedings of the 1994 IEEE
Conference_Location
Miami, FL
Print_ISBN
0-7803-1797-1
Type
conf
DOI
10.1109/SECON.1994.324289
Filename
324289
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