PRIOR KNOWLEDGE BASED NEURAL MODELING OF MICROSTRIP COUPLED RESONATOR FILTERS

Zlatica Marinkovic, Miloš Mitić, Branka Milošević, Marin Nedelchev

DOI Number
https://doi.org/10.2298/FUEE2202145М
First page
145
Last page
154

Abstract


The design of microstrip coupled resonator filters includes determination of the coupling coefficients between the filter resonator units. In this paper a novel modeling procedure exploiting prior knowledge neural approach is proposed as an efficient alternative to the standard electromagnetic (EM) simulations and to the neural models based purely on the artificial neural networks (ANNs). It has similar accuracy as the EM simulations and requires less training data and less time needed for the model development than the models based purely on ANNs.

Keywords

artificial neural networks, coupled filters, design, microstrip

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References


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