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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2014-01-20
Optimization of a Dual Ring Antenna by Means of Artificial Neural Network
By
Linh Ho Manh,

    Dr. Linh Ho Manh

    Department of Energy

    Politecnico di Milano

    Italy

    Homepage

Francesco Grimaccia,

    Dr. Francesco Grimaccia

    Politecnico di Milano

    Italy

    Homepage

Marco Mussetta,

    Prof. Marco Mussetta

    Department of Energy

    Politecnico di Milano

    Italy

    Homepage

Riccardo Enrico Zich

    Dr. Riccardo Enrico Zich

    Politecn Milan

    Italy

    Homepage

Progress In Electromagnetics Research B, Vol. 58, 59-69, 2014
doi:10.2528/PIERB13112806 | Google Scholar

Abstract
In literature, heuristic algorithms have been successfully applied to a number of electromagnetic problems. The associated cost functions are commonly linked to full-wave analysis, leading to complexity and high computational expense. Artificial Neural Network is one of the most effective biological inspired techniques. In this article, an efficient surrogate model is trained to replace the full-wave analysis in optimizing the bandwidth of microstrip antenna. The numerical comparison between ANN substitution model and full-wave characterization shows significant improvements in time convergence and computational cost. To verify the robustness of this approach, all these concepts are integrated into a case study represented by a rectangular ring antenna with proximity-coupled feed antenna.
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Citation
Linh Ho Manh, Francesco Grimaccia, Marco Mussetta, and Riccardo Enrico Zich, "Optimization of a Dual Ring Antenna by Means of Artificial Neural Network," Progress In Electromagnetics Research B, Vol. 58, 59-69, 2014.
doi:10.2528/PIERB13112806
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