NEURAL NETWORK APPROACH TO SHAPE RECONSTRUCTION OF A CONDUCTING CYLINDER

Öz

NEURAL NETWORK APPROACH TO SHAPE RECONSTRUCTION OF A CONDUCTING CYLINDER

Anahtar Kelimeler

• Inverse Electromagnetic Scattering, Shape Reconstruction, Neural Network

Kaynakça

1. D. Colton, R. Kress, Inverse Acoustic and Electromagnetic Scattering Theory, Springer- Verlag, Berlin Heidelberg New York 1999.
2. C. Christodoulou, M. Georgiopoulos, Applications of Neural Networks in Electromagnetics, Artech House, 2001.
3. U. Asık, T. Günel, I. Erer, “Wavelet Based Radial Function Neural Network Approach to the Inverse Scattering of Conducting Cylinders”, Microwave Opt Tech. Let., Vol. 41, No 6 (2004), –511.
4. I. Elsha.ey, L. Udpa, S.S. Udpa, “Solution of inverse problems in Electromagnetics using hop.eld neural Networks”, IEEE Tran. Magn 31 (1995), 852–861.
5. R. F. Harrington, Field Computation by Moment Method, Wiley IEEE Press, 21 April , New York, USA. S. Ratnajeevan and H. Hoole, “Artificial neural networks in the solution of inverse electromagnetic field problems”, IEEE Trans Magn, 29 (1993), 1931–1934.
6. P. R.Gill, W. Murray, M. H. Wright, The Levenberg-Marquardt Method, Practical Optimization, London: Academic Press, 1981.
7. Necmi Serkan Tezel was born in Edremit, Turkey in 1978. He received the B.Sc. and M.Sc. degrees from Istanbul Technical University (I.T.U), Department of Electronics and Communication Engineering in 1999 and 2001 respectively. . He works as a research assistant in the Department of Electronics and Communication Engineering in I.T.U. His current research interests are electromagnetic theory, antennas, radar and signal processing.