Different Fractal Antenna Structure Analysis using ANN
Prabhat K. Patnaik1, Dhruba C. Panda2, M. Vamshi Krishna3
1Prabhat K. Patnaik*, Department of E.C.E, School of Engineering and Technology, Centurion University of Technology and Management, Odisha, India.
2Dhruba C. Panda, Department of Electronic Science, Berhampur University, Berhampur, India.
3M.Vamshi Krishna, Department of E.C.E, School of Engineering and Technology, Centurion University of Technology and Management, Odisha, India
Manuscript received on February 10, 2020. | Revised Manuscript received on February 20, 2020. | Manuscript published on March 10, 2020. | PP: 1787-1701 | Volume-9 Issue-5, March 2020. | Retrieval Number: E2220039520/2020©BEIESP | DOI: 10.35940/ijitee.E2220.039520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper various geometrical shapes, derived from fractal mathematics have been simulated for obtaining its multiband or wideband features. Design of fractal antennas involves a lot of calculations. In order to ease the calculation, the Artificial Neural Network (ANN) is implemented. The results obtained from ANN are in accordance with the measured results.
Keywords: Artificial Neural Network, Fractal Antennas, Sierpinski Gasket, Sierpinski Carpet.
Scope of the Article: Artificial Intelligence and Machine Learning