Optimization of microstrip dual mode resonator filter structure modeling using artifical neural network applications
Küçük Resim Yok
Tarih
2010
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Artificial Neural Network computational modules have recently gained recognition RF and microwave modeling. This situation is very important for computer aided tuning of microwave components. Neural networks can be trained to learn the behavior of passive/active components/circuits. This paper presents a design approach for a microstrip dual mode filter by using the artificial neural network modeling (ANN) technique. First to develop new models available in the programs a simple modeling technique were used. To these end important dimensions of the filter layout are used to capture critical input output relationships. Once fully developed, the ANN model has been shown to be as accurate as an EM simulator and much more efficient results in the filter optimization.
Açıklama
2010 7th National Conference on Electrical, Electronics and Computer Engineering, ELECO 2010 -- 2 December 2010 through 5 December 2010 -- Bursa -- 83834
Anahtar Kelimeler
Electrical engineering, Microstrip filters, Microwave filters, Optimization, Artificial Neural Network, Artificial neural network modeling, Computer-aided tuning, Critical inputs, Design approaches, Dual-mode filter, Dual-mode resonator filter, Filter optimization, Microstripes, Microwave components, Microwave modeling, Neural network application, New model, Simple modeling, Neural networks
Kaynak
2010 National Conference on Electrical, Electronics and Computer Engineering, ELECO 2010
WoS Q Değeri
Scopus Q Değeri
N/A
