Neural network applications for optimization of microstrip linear phase filter with inset feeding
Küçük Resim Yok
Tarih
2010
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
ANN has a wide application areas. One of these applications areas is the optimization of microwave filters. In this study, of optimization ANN solution techniques have been applied to optimize RF and microwave structures Using Artificial neural networks (ANN) modeling technique in a filter design with the inset-feeding open-loop resonator is presented. With helping the Sonnet EM Simulator, to develop a new ANN model, the datas was produced. The modeling techniques which is in the Neuro Solutions Program were used for this process. The geometrical dimension of filter and coupling gap can be used to determine input output(I/O) relations of ANN model. As a result, for the -linear phase- microstrip filter, the results , which was obtained from the ANN model were compared with the experiment and simulation result. And provided a good agreement was observed.
Açıklama
2010 7th National Conference on Electrical, Electronics and Computer Engineering, ELECO 2010 -- 2 December 2010 through 5 December 2010 -- Bursa -- 83834
Anahtar Kelimeler
Computer simulation, Electrical engineering, Microstrip filters, Neural networks, Optimization, Signal filtering and prediction, Application area, Artificial Neural Network, Filter designs, Geometrical dimensions, Input-output, Inset feeding, Linear phase, Linear phase filters, Microstripes, Microwave structures, Modeling technique, Neural network application, Open-loop resonators, Simulation result, Solution techniques, Microwave filters
Kaynak
2010 National Conference on Electrical, Electronics and Computer Engineering, ELECO 2010
WoS Q Değeri
Scopus Q Değeri
N/A
