Optimum Design of Microstrip Band-Stop Filters Using Artificial Neural Network (ANN)
DOI:
https://doi.org/10.18486/ijcsnt/1.3.011Keywords:
Microstrip Band Stop Filters, Open Stubs, ANN Model, IE3D EM Simulation, S-Parameters, Training AlgorithmAbstract
This paper presents a design approach for a optimum Microstrip Band-Stop filters by using the artificial neural network (ANN) modeling technique. Important dimensions of the filter layout are used to capture critical input-output relationships in the ANN model. This paper presents the design and analysis of Microstrip Band-Stop Filter at central frequency 1.8 GHz which provides improved bandwidth and insertion loss of $-52.8$ dB. Also an artificial neural network model to determine the Magnitude variation of scattering parameters (S-parameters) of these filters is proposed for various frequencies. Once fully developed, the ANN model has been shown to be as accurate as an EM simulator and much more efficient computationally in the design. The simulation is done using the commercial software IE3D 14.1.
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