Extracting the dielectric constant of materials using ABC-based ANNs and NRW algorithms
Yazarlar (5)
Prof. Dr. Turgut Öztürk Karabük Üniversitesi, Türkiye
Amna Elhawil
University Of Tripoli, Libya
University Of Tripoli, Libya
Prof. Dr. Muharrem DÜĞENCİ Karabük Üniversitesi, Türkiye
İlhami Ünal
Tubıtak Marmara Research Center, Türkiye
Tubıtak Marmara Research Center, Türkiye
İhsan Uluer Karabük Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Journal of Electromagnetic Waves and Applications (Q4) | ||
| Dergi ISSN | 0920-5071 Dergi Bilgileri (2016) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 08-2016 |
| Kabul Tarihi | 15-07-2016 | Yayınlanma Tarihi | 10-08-2016 |
| Cilt / Sayı / Sayfa | 30 / 13 / 1785–1799 | DOI | 10.1080/09205071.2016.1215266 |
| Makale Linki | https://www.tandfonline.com/doi/full/10.1080/09205071.2016.1215266 | ||
| UAK Araştırma Alanları |
Veri Madenciliği
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| 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. |
| Anahtar Kelimeler |
| artificial bee colony | dielectric constant | Free space measurement | Newton–Raphson method | NRW technique |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 13 |
| Scopus | 14 |
| Google Scholar | 16 |