- Tytuł:
- Designing a Compact Microstrip Antenna Using the Machine Learning Approach
- Autorzy:
-
Sharma, Kanhaiya
Pandey, Ganga Prasad - Powiązania:
- https://bibliotekanauki.pl/articles/1839319.pdf
- Data publikacji:
- 2020
- Wydawca:
- Instytut Łączności - Państwowy Instytut Badawczy
- Tematy:
-
artificial neural network
dual band
microstrip antenna
notch - Opis:
- This paper presents how machine learning techniques may be applied in the process of designing a compact dual-band H-shaped rectangular microstrip antenna (RMSA) operating in 0.75–2.20 GHz and 3.0–3.44 GHz frequency ranges. In the design process, the same dimensions of upper and lower notches are incorporated, with the centered position right in the middle. Notch length and width are verified for investigating the antenna. An artificial neural network (ANN) model is developed from the simulated dataset, and is used for shape prediction. The same dataset is used to create a mathematical model as well. The predicted outcome is compared and it is determined that the model relying on ANN offers better results.
- Źródło:
-
Journal of Telecommunications and Information Technology; 2020, 4; 44-52
1509-4553
1899-8852 - Pojawia się w:
- Journal of Telecommunications and Information Technology
- Dostawca treści:
- Biblioteka Nauki
Artykuł