Journals / Istanbul University Journal of Electrical and Electronics Engineering / 2003 / Cilt: 3 - Sayı: 1

Computation of radiation efficiency for a resonant rectangular microstrip patch antenna using backpropagation multilayered perceptrons

Pages
663–671
Publication Date
2022-10-18
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The method can also be used in the calculation of the radiation efficiency of dipoles.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:A new approach based on artificial neural networks for calculating the radiation efficiency of a rectangular microstrip antenna is presented.
📊
Key Findings & Data:The method is valid for substrates with relative permittivities between 1 and 12.8 and for the complete range of thicknesses normally used.
💡
Conclusion & Impact:The method can also be used in the calculation of the radiation efficiency of dipoles.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

A new approach based on artificial neural networks for calculating the radiation efficiency of a rectangular microstrip antenna is presented. The backpropagation algorithm is used to train the networks. The method is valid for substrates with relative permittivities between 1 and 12.8 and for the complete range of thicknesses normally used. The results obtained by using this new method are in conformity with those reported elsewhere. The method can also be used in the calculation of the radiation efficiency of dipoles.

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Cite This Article

ERLER, M., SAĞIROĞLU, Ş., GÜNEY, K. (2022). Computation of radiation efficiency for a resonant rectangular microstrip patch antenna using backpropagation multilayered perceptrons. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 3 - Sayı: 1, 663–671. https://ajindex.com/articles/543914

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