COMPUTATIONAL INVESTIGATION ON THE USE OF FEM AND MLP NEURAL NETWORK IN THE INVERSE PROBLEM OF DEFECTS IDENTIFICATIONS

Volume: 8 Number: 1 January 2, 2012
  • T. Hacıb
  • M. R. Mekıdeche
  • N. Ferkha
EN

COMPUTATIONAL INVESTIGATION ON THE USE OF FEM AND MLP NEURAL NETWORK IN THE INVERSE PROBLEM OF DEFECTS IDENTIFICATIONS

Abstract

COMPUTATIONAL INVESTIGATION ON THE USE OF FEM AND MLP NEURAL NETWORK IN THE INVERSE PROBLEM OF DEFECTS IDENTIFICATIONS

Keywords

References

  1. Ramuhalli. P., Neural network based iterative algorithms for solving electromagnetic NDE inverse problems, Ph.D. dissertation, Dept. Elect. Comp. Eng, Iowa Univ, USA, 2002.
  2. Coccorese. E., Martone. R., Morabito. F. C., "A neural network approach for the solution of electric and magnetic inverse problems", IEEE Trans. Magnetics, Vol: 30, No: 5, pp. 2829- , 1994.
  3. Hoole. S. R. H., "Artificial neural networks in the solution of inverse electromagnetic field problems", IEEE Trans. Magnetics, Vol: 29, No: , pp. 1931-1934, 1993.
  4. Ramuhalli. P., Udpa. L., Udpa. S. S., "Finite element neural networks for solving differential equations", IEEE Trans. Neural Networks, Vol: , No: 6, pp. 1381-1392, 2005.
  5. Wong. P. M., Nikravesh. M., "Field applications of intelligent computing techniques", J. Petrol Geolog, Vol: 24, No: 4, pp. 381-387, 2001.
  6. Fanni. A., Montisci. A., "A neural inverse problem approach for optimal design", IEEE Trans. Magnetics, Vol: 39, No: 3, pp. 1305- , 2003.
  7. Haykin. S., Neural networks: A comprehensive foundation, Englewood Cliffs, NJ: Prentice-Hall, New York, 1999.
  8. Turchenko. I. V., "Simulation modelling of multi-parameter sensor signal identification using neural networks", Proc. 2 IEEE Int Conf. Intelligent Systems, Bulgaria, 2004, pp. 48-53.

Details

Primary Language

English

Subjects

-

Journal Section

-

Authors

T. Hacıb This is me

M. R. Mekıdeche This is me

N. Ferkha This is me

Publication Date

January 2, 2012

Submission Date

January 2, 2012

Acceptance Date

-

Published in Issue

Year 2008 Volume: 8 Number: 1

APA
Hacıb, T., Mekıdeche, M. R., & Ferkha, N. (2012). COMPUTATIONAL INVESTIGATION ON THE USE OF FEM AND MLP NEURAL NETWORK IN THE INVERSE PROBLEM OF DEFECTS IDENTIFICATIONS. IU-Journal of Electrical & Electronics Engineering, 8(1), 537-548. https://izlik.org/JA95TA53FN
AMA
1.Hacıb T, Mekıdeche MR, Ferkha N. COMPUTATIONAL INVESTIGATION ON THE USE OF FEM AND MLP NEURAL NETWORK IN THE INVERSE PROBLEM OF DEFECTS IDENTIFICATIONS. IU-Journal of Electrical & Electronics Engineering. 2012;8(1):537-548. https://izlik.org/JA95TA53FN
Chicago
Hacıb, T., M. R. Mekıdeche, and N. Ferkha. 2012. “COMPUTATIONAL INVESTIGATION ON THE USE OF FEM AND MLP NEURAL NETWORK IN THE INVERSE PROBLEM OF DEFECTS IDENTIFICATIONS”. IU-Journal of Electrical & Electronics Engineering 8 (1): 537-48. https://izlik.org/JA95TA53FN.
EndNote
Hacıb T, Mekıdeche MR, Ferkha N (January 1, 2012) COMPUTATIONAL INVESTIGATION ON THE USE OF FEM AND MLP NEURAL NETWORK IN THE INVERSE PROBLEM OF DEFECTS IDENTIFICATIONS. IU-Journal of Electrical & Electronics Engineering 8 1 537–548.
IEEE
[1]T. Hacıb, M. R. Mekıdeche, and N. Ferkha, “COMPUTATIONAL INVESTIGATION ON THE USE OF FEM AND MLP NEURAL NETWORK IN THE INVERSE PROBLEM OF DEFECTS IDENTIFICATIONS”, IU-Journal of Electrical & Electronics Engineering, vol. 8, no. 1, pp. 537–548, Jan. 2012, [Online]. Available: https://izlik.org/JA95TA53FN
ISNAD
Hacıb, T. - Mekıdeche, M. R. - Ferkha, N. “COMPUTATIONAL INVESTIGATION ON THE USE OF FEM AND MLP NEURAL NETWORK IN THE INVERSE PROBLEM OF DEFECTS IDENTIFICATIONS”. IU-Journal of Electrical & Electronics Engineering 8/1 (January 1, 2012): 537-548. https://izlik.org/JA95TA53FN.
JAMA
1.Hacıb T, Mekıdeche MR, Ferkha N. COMPUTATIONAL INVESTIGATION ON THE USE OF FEM AND MLP NEURAL NETWORK IN THE INVERSE PROBLEM OF DEFECTS IDENTIFICATIONS. IU-Journal of Electrical & Electronics Engineering. 2012;8:537–548.
MLA
Hacıb, T., et al. “COMPUTATIONAL INVESTIGATION ON THE USE OF FEM AND MLP NEURAL NETWORK IN THE INVERSE PROBLEM OF DEFECTS IDENTIFICATIONS”. IU-Journal of Electrical & Electronics Engineering, vol. 8, no. 1, Jan. 2012, pp. 537-48, https://izlik.org/JA95TA53FN.
Vancouver
1.T. Hacıb, M. R. Mekıdeche, N. Ferkha. COMPUTATIONAL INVESTIGATION ON THE USE OF FEM AND MLP NEURAL NETWORK IN THE INVERSE PROBLEM OF DEFECTS IDENTIFICATIONS. IU-Journal of Electrical & Electronics Engineering [Internet]. 2012 Jan. 1;8(1):537-48. Available from: https://izlik.org/JA95TA53FN