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Jacobian Based Nonlinear Algorithms for Prediction of Optimized RF MEMS Switch Dimensions

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Abstract

This communication discusses the role of nonlinear algorithms in training the neural network, which predicts the optimized RF MEMS switch dimensions. A dedicated dataset, i.e., DrTLN-RF-MEMS-SWITCH-DATASET-v1, was created by considering the most appropriate input and output variable suitable to predict the cantilever dimensions, crab leg and serpentine structure-based RF MEMS switches. The distinct artificial neural networks (ANN) performance is analysed using various training methods. The hardware implementation possible neural network algorithms, i.e., Fitting and Cascade Feed Forward Network, are considered for learning and prediction. The ANN algorithm's performance in predicting and optimizing RF MEMS switch is analysed using nonlinear training methods like Levenberg–Marquardt (LM) and Scaled Conjugate Gradient (SCG). The cascaded forward network with LM training combination offers the best performance compared with other varieties. A comprehensive study is performed using neural networks and finite element simulation results. The study revealed that the error percentage is below 15.08% for most of the parameters.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Andhra Loyola Institute of Engineering and Technology, Vijayawada, Andhra Pradesh, 520008, India

    Lakshmi Narayana Thalluri & N. Britto Martin Paul

  2. Department of Electronics and Communication Engineering, West Godavari Institute of Science and Engineering, Avapadu, Prakasraopalem, East Godavari District, Tadepalligudem, Andhra Pradesh, 534112, India

    M. Aravind Kumar

  3. Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310, Johor Bahru, Malaysia

    Mohamed Sultan Mohamed Ali

  4. MEMS Research Center, Department of ECE, Koneru Lakshmaiah Educational Foundation (Deemed to Be University), Green Fields, Vaddeswaram, Guntur, 522502, India

    K. Srinivasa Rao

  5. National MEMS Design Center, Department of Electronics and Communication Engineering, National Institute of Technology, Silchar, Assam, 788010, India

    Koushik Guha

  6. Department of Electronics and Communication Engineering, Lendi Institute of Engineering and Technology, Viziangaram, Andhra Pradesh, 535005, India

    S. S. Kiran

  7. Department of Electrical Engineering, College of Engineering, Qatar University, Doha, Qatar

    Mohamed Sultan Mohamed Ali

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  1. Lakshmi Narayana Thalluri
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Thalluri, L.N., Kumar, M.A., Ali, M.S.M. et al. Jacobian Based Nonlinear Algorithms for Prediction of Optimized RF MEMS Switch Dimensions. Trans. Electr. Electron. Mater. 24, 447–458 (2023). https://doi.org/10.1007/s42341-023-00463-7

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