## Abstract The mathematical formulation of empirically developed formulas for the calculation of the resonant frequency of a thickβsubstrate (h β₯ 0.08151Ξ»~0~) microstrip antenna has been analyzed. With the use of tunnelβbased artificial neural networks (ANNs), the resonant frequency of antennas wi
Bacterial foraging optimization technique to calculate resonant frequency of rectangular microstrip antenna
β Scribed by Sastry V. R. S. Gollapudi; Shyam S. Pattnaik; O. P. Bajpai; Swapna Devi; Ch. Vidya Sagar; Patra K. Pradyumna; K. M. Bakwad
- Publisher
- John Wiley and Sons
- Year
- 2008
- Tongue
- English
- Weight
- 186 KB
- Volume
- 18
- Category
- Article
- ISSN
- 1096-4290
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Existing methods to compute the bandwidth of probe-fed rectangular microstrip antenna elements are inaccurate for the range of substrate thicknesses considered for this research. When 0.0815h0 5 h (A0 is the free-space wacrelength and h is the substrate thickness) the effect of surface wacies is pre
## Abstract In this paper, a new CAD model is proposed to calculate accurate resonant frequencies of inverted microstrip circular patch antennas having a wide range of parameters. This model incorporates all the effects of various dimensions and dielectrics used. Computed results for the first few
In this article, an efficient application of a genetic algorithm (GA) in an artificial neural network (ANN) to calculate the resonant frequency of a coaxially-fed tunable rectangular microstrip-patch antenna is presented. For a normal feed-forward back-propagation algorithm, with a compromise betwee