Resonant frequency is an important parameter in designing microstrip antenna (MSA). Selective neural network ensemble (NNE) methods based on decimal particle swarm optimization (PSO) algorithm and binary PSO algorithm are proposed in this study. The basic idea of the methods is to optimally select n
Modeling frequency reconfigurable antenna array using neural networks
β Scribed by Amalendu Patnaik; Dimitrios Anagnostou; Christos G. Christodoulou; James C. Lyke
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- English
- Weight
- 108 KB
- Volume
- 44
- Category
- Article
- ISSN
- 0895-2477
No coin nor oath required. For personal study only.
β¦ Synopsis
In order to avoid the computational complexities involved in analyzing reconfigurable antennas, neural networks are used as an alternate approach. The neural network finds the location of the operational frequency bands for any combination of switches connecting different radiating elements. The network outputs are compared with the experimentally measured results.
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