EN
COMPUTATIONAL INVESTIGATION ON THE USE OF FEM AND MLP NEURAL NETWORK IN THE INVERSE PROBLEM OF DEFECTS IDENTIFICATIONS
Öz
COMPUTATIONAL INVESTIGATION ON THE USE OF FEM AND MLP NEURAL NETWORK IN THE INVERSE PROBLEM OF DEFECTS IDENTIFICATIONS
Anahtar Kelimeler
Kaynakça
- Ramuhalli. P., Neural network based iterative algorithms for solving electromagnetic NDE inverse problems, Ph.D. dissertation, Dept. Elect. Comp. Eng, Iowa Univ, USA, 2002.
- 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.
- 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.
- 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.
- Wong. P. M., Nikravesh. M., "Field applications of intelligent computing techniques", J. Petrol Geolog, Vol: 24, No: 4, pp. 381-387, 2001.
- Fanni. A., Montisci. A., "A neural inverse problem approach for optimal design", IEEE Trans. Magnetics, Vol: 39, No: 3, pp. 1305- , 2003.
- Haykin. S., Neural networks: A comprehensive foundation, Englewood Cliffs, NJ: Prentice-Hall, New York, 1999.
- 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.
Ayrıntılar
Birincil Dil
İngilizce
Konular
-
Bölüm
-
Yayımlanma Tarihi
2 Ocak 2012
Gönderilme Tarihi
2 Ocak 2012
Kabul Tarihi
-
Yayımlandığı Sayı
Yıl 2008 Cilt: 8 Sayı: 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, ve 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 (01 Ocak 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, ve 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, c. 8, sy 1, ss. 537–548, Oca. 2012, [çevrimiçi]. Erişim adresi: 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 (01 Ocak 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., vd. “COMPUTATIONAL INVESTIGATION ON THE USE OF FEM AND MLP NEURAL NETWORK IN THE INVERSE PROBLEM OF DEFECTS IDENTIFICATIONS”. IU-Journal of Electrical & Electronics Engineering, c. 8, sy 1, Ocak 2012, ss. 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]. 01 Ocak 2012;8(1):537-48. Erişim adresi: https://izlik.org/JA95TA53FN