Prediction of Microstrip Line Characteristic Impedance Using Different Machine Learning Methods

XVII International Conference on Systems, Automatic Control and Measurements, SAUM 2024 (pp. 153-156)

АУТОР(И) / AUTHOR(S): Natalija Ivković , Isidora Jovanović , Mirjana Perić , Ana Vučković

Download Full Pdf  

DOI:  10.46793/SAUM24.153I

САЖЕТАК / ABSTRACT:

A prediction of the characteristic impedance of a microstrip line using various machine learning methods is presented in this paper. The symmetrically coupled microstrip line with an infinite grounded plane is analysed. The hybrid boundary element method (HBEM) is applied for dataset generation. The results obtained from the machine learning models – linear regression, random forest and polynomial regression, are compared with those derived using the HBEM. This comparison highlights the effectiveness and accuracy of machine learning techniques in predicting the characteristic parameters of microstrip lines.

КЉУЧНЕ РЕЧИ / KEYWORDS:

characteristic impedance, HBEM, machine learning, microstrip line

ПРОЈЕКАТ / ACKNOWLEDGEMENT:

This work has been supported by the Ministry of Science, Technological Development and Innovation of the Republic of Serbia.

ЛИТЕРАТУРА / REFERENCES

  1. S. Rao and A. Gupta, Broadband Microstrip Antennas, Wiley, 2013.
  2. Olćan, D. Ninković, „Machine learning in applied electromagnetics“, 11th Int. Conf. on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, pp. 23-26, June 3-6, 2024.
  3. M. Lim et al., „Transmission line impulse response modelling using machine learning techniques“, IAES Int. J. of Artificial Inteligence, vol. 12, no.4, pp. 1577-1584, December 2023.
  4. Balaji, S. Raghavan, „Using machine learning to predict characteristics of microstrip line and microstrip patch antenna“, arXiv preprint arXiv:2406.04357, May 2024. [Online]. Available: https://ar5iv.org/html/2406.04357v1
  5. S. Ilić et al., „Quasi TEM analysis of 2D symmetrically coupled strip lines with infinite grounded plane using HBEM“, XVII-th Int. Symp. on Electrical Apparatus and Technologies SIELA 2012, Bourgas, Bulgaria, 28–30 May, 2012, pp.147-155.
  6. Perić et al., „Application of hybrid boundary element method to 2D microstrip lines analysis“, Int. Journal of Applied Electromagnetics and Mechanics, IOS Press, vol. 42, no. 2, pp. 179-190, 2013.
  7. Perić et al., „Improving the efficiency of hybrid boundary element method for electrostatic problems solving“, ACES journal, The Applied Computational Electromagnetic Society, Mississippi, USA, vol. 35, no. 8, pp. 872-877, 2020.
  8. Vučković et al., „Interaction magnetic force of cuboidal permanent magnet and soft magnetic bar using hybrid boundary element method“, ACES journal, The Applied Computational Electromagnetic Society, Mississippi, USA, vol. 36, no. 11, pp. 1492-1498, 2021.
  9. Ivković et al., „Machine learning application in cylindrical permanent magnet force calculation“, 16th Int. Conference on Applied Electromagnetics – ПЕС 2023, Faculty of Electronic Engineering of Niš, Niš, Serbia, CD-proceedings, pp. 89-92, August 28-30, 2023.