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Characterization of Lossy SIW Resonators Based on Multilayer Perceptron Neural Networks on Graphics Processing Unit

Giandomenico Amendola, Giovanni Angiulli, Emilio Arnieri, Luigi Boccia, Domenico De Carlo
DEIS, Univ. della Calabria, via Pietro Bucci, Rende (CS) 87036, Italy
Progress In Electromagnetics Research C, Vol. 42, 1-11, 2013

@article{amendola2013characterization,

   title={Characterization of Lossy SIW Resonators Based on Multilayer Perceptron Neural Networks on Graphics Processing Unit},

   author={Amendola, Giandomenico and Angiulli, Giovanni and Arnieri, Emilio and Boccia, Luigi and De Carlo, Domenico},

   journal={Progress In Electromagnetics Research C},

   volume={42},

   pages={1–11},

   year={2013},

   publisher={EMW Publishing}

}

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In recent years, Artificial Neural networks (ANNs) have been intensively employed to build smart model of microwave devices. In this paper a characterization of lossy SIW resonators by means of Multilayer Perceptron Neural Networks (MLPNNs) on Graphics Processing Unit (GPU), is presented. Once properly selected and trained, a MLPNN can evaluate the lossy SIW resonator’s resonant frequency fr and the pertaining quality factor Q at a shorter time than the full-wave rigorous model. In this way, fast parametric models of SIW structures to employ for the design and optimization of microwave devices, exploiting the computational power of GPUs, can be obtained.
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