Institutional Repository
Technical University of Crete
Technical University of Crete
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/F0C1568C-CCD9-48AB-8F70-AD696E5DF5CD | - |
| Language | en | - |
| Extent | 6 pages | en |
| Title | Computational investigation of asymmetric coplanar waveguides using neural networks: A microwave engineering exercise | en |
| Creator | Liodakis Georgios | en |
| Creator | Λιοδακης Γεωργιος | el |
| Creator | I.O. Vardiambasis | en |
| Creator | K. Karamichalis | en |
| Publisher | World Scientific and Engineering Academy and Society | en |
| Content Summary | In order to compute the characteristic impedance and the relative effective dielectric constant of an asymmetric coplanar waveguide with infinite or finite dielectric thickness, the use of artificial neural networks is valuable. The method of neural computing presented in this paper uses only one neural model for both parameters, for this specific waveguide type. The BFGS quasi-Newton back-propagation algorithm was used to train the developed neural network. Numerical results are given for several configurations along with comparisons with previously published data | en |
| Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Full Paper | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-10-29 | - |
| Date of Publication | 2005 | - |
| Subject | Product line engineering, Software | en |
| Subject | software product line engineering | en |
| Subject | product line engineering software | en |
| Bibliographic Citation | K. Karamichalis, I.O. Vardiambasis, and G. Liodakis, "Computational investigation of asymmetric coplanar waveguides using neural networks: A microwave engineering exercise," in Proc. of the 2005 WSEAS Inter. Con. on Engin. Edu. (EE'05), July, pp. 8-10. | en |
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