Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
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| URI | http://purl.tuc.gr/dl/dias/F0C1568C-CCD9-48AB-8F70-AD696E5DF5CD | - |
| Γλώσσα | en | - |
| Μέγεθος | 6 pages | en |
| Τίτλος | Computational investigation of asymmetric coplanar waveguides using neural networks: A microwave engineering exercise | en |
| Δημιουργός | Liodakis Georgios | en |
| Δημιουργός | Λιοδακης Γεωργιος | el |
| Δημιουργός | I.O. Vardiambasis | en |
| Δημιουργός | K. Karamichalis | en |
| Εκδότης | World Scientific and Engineering Academy and Society | en |
| Περίληψη | 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 |
| Τύπος | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Τύπος | Conference Full Paper | en |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2015-10-29 | - |
| Ημερομηνία Δημοσίευσης | 2005 | - |
| Θεματική Κατηγορία | Product line engineering, Software | en |
| Θεματική Κατηγορία | software product line engineering | en |
| Θεματική Κατηγορία | product line engineering software | en |
| Βιβλιογραφική Αναφορά | 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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