Abstract
This paper presents the application of artificial neural networks (ANNs) for meander line modeling. In this work, meander lines on microstrips will be investigated to determine a correlation between the physical parameters and the propagation delay of the lines. The simulation of the meander lines is done using the Momentum electromagnetics simulator in Keysight’s Advanced Design System (ADS) to generate the S-parameters which will be used in a transient simulation to determine the propagation delay. Neural network models are then created for propagation delay prediction. Finally, both the ADS and ANN results for simulated delay times of meander lines are compared to validate the performance and to justify the proposed method. Results show that the ANN model is able to accurately predict the delay of the meander lines with an accuracy above 99.5% with a speed-up of over 2000×.
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