Extracting the dielectric constant of materials using ABC-based ANNs and NRW algorithms

Ozturk T., Elhawil A., Düğenci M., Ünal İ., Uluer İ.

Journal of Electromagnetic Waves and Applications, cilt.30, sa.13, ss.1785-1799, 2016 (SCI-Expanded, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 30 Sayı: 13
  • Basım Tarihi: 2016
  • Doi Numarası: 10.1080/09205071.2016.1215266
  • Dergi Adı: Journal of Electromagnetic Waves and Applications
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1785-1799
  • Anahtar Kelimeler: artificial bee colony, dielectric constant, Free space measurement, Newton–Raphson method, NRW technique
  • Sivas Cumhuriyet Üniversitesi Adresli: Hayır

Özet

Five different Nicolson–Ross–Weir (NRW) extracting techniques are used to extract the dielectric constants of Teflon, Rexolite, Glass (borosilicate and soda-lime), Paper, and Ultralam 3850HT from S-parameters. The results of these extraction techniques are used to train the Artificial Neural Networks. In order to improve the accuracy of the results, the weights of ANNs are calculated using artificial bee colony estimation method. The results are compared with that obtained using NRW, Newton–Raphson, and genetic algorithm. The obtained results indicate that the proposed model gives good extracted parameters as compared with the previously published results.