An approach to printed dipole antenna design using the artificial neural network (ANN) modeling technique is presented in this article. Three important antennalayout dimensions are used to capture critical input/output relationships in the ANN model. Once fully developed, the ANN model has been show
Modeling and design of printed antennas using neural networks
โ Scribed by Yamina Tighilt; Farid Bouttout; Abdelhafid Khellaf
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 305 KB
- Volume
- 21
- Category
- Article
- ISSN
- 1096-4290
No coin nor oath required. For personal study only.
โฆ Synopsis
A single neural network is developed to model the resonant frequency of rectangular patch printed on uniaxially anisotropic substrate with air gap using effective parameters in conjunction with spectral dyadic Green's function. Also, the strength of ANN models in antenna design is demonstrated by considering two case studies: the design of circular patch antenna and planar inverted-F antenna. Results show good agreement with literature.
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