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Artificial Neural Network (ANN) to Design Microstrip Transmission Line

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Proceedings of International Conference on Artificial Intelligence and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1164))

Abstract

In this paper, an artificial neural network (ANN)-based prediction model has been demonstrated to analyse microstrip transmission line (MTL) for the characteristic impedance, Z0. The ANN prediction model will overcome the time and effort required to design MTL using costly radio frequency (RF) software tools. The ANN model has been developed using feed forward back propagation (F-F B-P) algorithm with three hidden layers and optimized by gradient descent (GD) optimizer. ANN model has been developed on the dataset built using analytical formulation. The training, validation and test error obtained for the model are \( 7.197 \times 10^{ - 5} \), \( 6.189 \times 10^{ - 5} \) and 0.66, respectively, demonstrating high accuracy.

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Acknowledgements

The authors would like to thank UGC-UPE II by University Grant Commission India, DST INSPIRE (Innovation in Science Pursuit for Inspired Research) Faculty award research grant (IFA12-ENG-24) and DST-PURSE (Promotion of University Research and Scientific Excellence) by Department of Science & Technology, Government of India, UGC Non-NET Research Fellowship for the financial support to carry out this research work. Special thanks to my labmates Amit Sharma and Swati Todi.

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Authors and Affiliations

  1. Microsystems Lab, Jawaharlal Nehru University, New Delhi, 110067, India

    Mohammad Ahmad Ansari & Poonam Agarwal

  2. School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, 110067, India

    Mohammad Ahmad Ansari, Poonam Agarwal & Krishnan Rajkumar

Authors
  1. Mohammad Ahmad Ansari
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  2. Poonam Agarwal
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  3. Krishnan Rajkumar
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Corresponding author

Correspondence to Mohammad Ahmad Ansari .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Maharaja Surajmal Institute of Technology, New Delhi, India

    Poonam Bansal

  2. Department of Electrical and Electronics Engineering, Maharaja Surajmal Institute of Technology, New Delhi, India

    Meena Tushir

  3. Department of Automation and Applied Software, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  4. Department of Computer Science and Engineering, Indian Institute of Technology (BHU), Varanasi, India

    Rajeev Srivastava

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Ansari, M.A., Agarwal, P., Rajkumar, K. (2021). Artificial Neural Network (ANN) to Design Microstrip Transmission Line. In: Bansal, P., Tushir, M., Balas, V., Srivastava, R. (eds) Proceedings of International Conference on Artificial Intelligence and Applications. Advances in Intelligent Systems and Computing, vol 1164. Springer, Singapore. https://doi.org/10.1007/978-981-15-4992-2_3

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