Analysis of a circular microstrip antenna on isotropic or uniaxially anisotropic substrate using neurospectral approach
| dc.contributor.author | Bedra Sami | |
| dc.date.accessioned | 2024-02-13T21:24:31Z | |
| dc.date.available | 2024-02-13T21:24:31Z | |
| dc.date.issued | 2013 | |
| dc.description.abstract | The paper develops fast and accurate model based on ANN technique to calculate the resonant frequencies and quality factors of circular microstrip antennas. ANN is used to model the relationship between the parameters of the microstrip antenna and the resonant frequencies and quality factors obtained from the spectral domain approach. This relatively simple model allows designers to predict accurately the resonant frequencies and quality factors for a given design without having to develop or run the spectral method codes themselves. The main advantages of the method are: less computing time than the spectral model, results with accuracy equivalent to that of full-wave models and cost effectiveness, since the client can use a simple PC for implementation. Another advantage of the proposed ANN model is that it takes into account the uniaxial anisotropy in the substrate without increasing the network size. This is done by combining ANN with electromagnetic knowledge. | |
| dc.identifier.citation | Bedra, Sami, Siham Benkouda, and Tarek Fortaki. "Analysis of a circular microstrip antenna on isotropic or uniaxially anisotropic substrate using neurospectral approach." COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 33.1/2 (2013): 567-580. | |
| dc.identifier.issn | 0332-1649 | |
| dc.identifier.uri | http://dspace.univ-khenchela.dz:4000/handle/123456789/814 | |
| dc.language.iso | en | |
| dc.publisher | Emerald Group Publishing Limited, COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering | |
| dc.title | Analysis of a circular microstrip antenna on isotropic or uniaxially anisotropic substrate using neurospectral approach | |
| dc.type | Article |