Neural networks found significant applications in microwave CAD. In this paper, after providing a brief description of neural networks employed so far in this context, we illustrate some of their most significant applications and typical issues arising in practical implementation. We also summarize
Design of waveguide microwave filters by means of artificial neural networks
β Scribed by Antonio Luchetta; Stefano Manetti; Luca Pellegrini; Giuseppe Pelosi; Stefano Selleri
- Publisher
- John Wiley and Sons
- Year
- 2006
- Tongue
- English
- Weight
- 168 KB
- Volume
- 16
- Category
- Article
- ISSN
- 1096-4290
No coin nor oath required. For personal study only.
β¦ Synopsis
Cylindrical post-based waveguide filters are a relevant component of antenna feeding networks. Their synthesis performed via automatic optimization based on full-wave analyses can be very time consuming. In this article a novel fast-design approach based on Levy's and Moore's algorithms and an artificial neural network (ANN) architecture is presented. V
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