Adaptive neuro-fuzzy models for conventional coplanar waveguides

TÜRKMEN M., KAYA S., YILDIZ C., GÜNEY K.

Progress In Electromagnetics Research B, cilt.6, ss.93-107, 2008 (Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 6
  • Basım Tarihi: 2008
  • Doi Numarası: 10.2528/pierb08031208
  • Dergi Adı: Progress In Electromagnetics Research B
  • Derginin Tarandığı İndeksler: Scopus, Applied Science & Technology Source, Compendex, INSPEC
  • Sayfa Sayıları: ss.93-107
  • Erciyes Üniversitesi Adresli: Evet

Özet

© 2008, Electromagnetics Academy.In this work a new method based on the adaptive neuro-fuzzy inference system (ANFIS) was successfully introduced to determine the characteristic parameters, effective permittivities and characteristic impedances, of conventional coplanar waveguides. The ANFIS has the advantages of expert knowledge of fuzzy inference system and learning capability of neural networks. A hybrid-learning algorithm, which combines least-square method and backpropagation algorithm, is used to identify the parameters of ANFIS. There are very good agreement between the results of ANFIS models, experimental works, conformal mapping technique, spectral domain approach and a commercial electromagnetic simulator, MMICTL.