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 co
Printed dipole antenna design using artificial neural network modeling for RFID application
β Scribed by Xiuping Li; Jianjun Gao; Georg Boeck
- Publisher
- John Wiley and Sons
- Year
- 2006
- Tongue
- English
- Weight
- 197 KB
- Volume
- 16
- Category
- Article
- ISSN
- 1096-4290
No coin nor oath required. For personal study only.
β¦ Synopsis
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 shown to be as accurate as an EM simulator and much more efficient computationally in antenna design optimization. V
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