Neural-genetic method for synthesis of antennas and microwave devices

Authors

DOI:

https://doi.org/10.20535/RADAP.2008.36.60-66

Keywords:

antennas, microwave devices, methods of calculation of antennas and microwave devices

Abstract

A neural-genetic concept is proposed for synthesis of antennas and microwave devices. A device to be optimized is modeled by artificial neural networks and synthesis is made by genetic algorithm based inversion of the artificial neural networks.

Author Biographies

F. F. Dubrovka, National Technical University of Ukraine, Kyiv Politechnic Institute, Kiev

Dubrovka F.F.

D. O. Vasylenko, National Technical University of Ukraine, Kyiv Politechnic Institute, Kiev

Vasylenko D.O.

References

Bandler J., Cheng Q., Dakroury S., Mohamed A.. Space mapping: the state of the art // IEЕЕ Transactions on MIT. - 2004. - Vol. 52. - P. 337-361.

Handler J. W., Hailu D. M., Madsen K.5 Pedersen F. A space-mapping interpolating surrogate algorithm for highly optimized EM-based design of microwave devices // IEEE Transactions on MTT.- 2004.- Vol. 52.- P. 2593-2600.

Handler J. W,, Ismail M.A, Rayas-Sanchez J.E., Zhang QJ. Neural Inverse Space Mapping (NISM) Optimization for EM-Based Microwave Design // International Journal of RF and Microwave Computer-Aided Engineering. 2003. V.l 3. P .136 -147.

Beine C. Einsatz kiinstlicher neuronaler Netze bei der Analyse und Synthese planarer Patchantennen far den Mobilfunk. Inst.f. HF-Techmk. Diplomarbeit Ruhr- Universitaet Bochum, 1999.

Guney K., Sarikaya N.A Hybrid Method Based on Combining Artificial Neural Network and Fuzzy Inference System for Simultaneous Computation of Resonant Frequencies of Rectangular, Circular, and Triangular Microstrip Antennas // IEEE Transactions on Antennas and Propagation.- 2007.- Vol. 55 - P. 659-668.

Yildiz C., Turkmen M. Very accurate and simple CAD models based on neural networks for coplanar waveguide synthesis // International Journal of RF and Microwave Computer-Aided Engineering. - 2005 - Vol. 15 - P. 218-224.

Burrascano P., Fiori S., Mongiardo M. A review of artificial neural networks applications in microwave computer-aided design I! International Journal of RF and Microwave Computer-Aided Engineering - 1999.-Vol. 9.- P. 158-174.

Kim Y., Keely S.. Ghosh J., Ling H. Application of artificial neural networks to broadband antenna design based on a parametric frequency model // IEEE Transactions on Antennas and Propagation.- 2007.- Vol. 55 - P. 669-674.

Fedi G.,Manetti S., ets. FEM-trained artificial neural networks for the analysis and design of cylindrical posts in a rectangular waveguide/ZElectromagnetics. 2002JNb4. P.323-330.

Haykin S. Neural Networks: A Comprehensive Foundation. - Prentice Hall PTR Upper Saddle River. - New York, 1994.

Baum E., Haussler D. What size net gives valid generalization? // Neural Computation. - 1990. -№1. - P. 151- 160,

Williams R. Inverting a connectionist network mapping by backpropagation of error// Proc.8th Annu,Conf.Cognitive Sc. Soc., Hillsdale, NJ:Lawrence Erlbaum5 1986, P.859-865

Linden A., Kindermann J. Inversion of multilayer nets // Proc. Int. Joint Conf. Neural Networks, Washington, DC, 1989, P. 425-430.

Rahmat-Samii Y., Michielssen E. Electromagnetic optimization by genetic algorithms. - J. Wiley. - New York, 1999.

Vasylenko D. 0., Dubrovka F. F., Edenhofer P. Contour optimization of a planar broadband dipole using genetic algorithms // Int. Conf. on Antenna Theory and Techniques, September 2007, P. 247-249.

How to Cite

Дубровка, Ф. and Василенко, Д. (2008) “Neural-genetic method for synthesis of antennas and microwave devices”, Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, 0(36), pp. 60-66. doi: 10.20535/RADAP.2008.36.60-66.

Issue

Section

Electrodynamics. Microwave devices. Antennas

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