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Artificial Neural Network Model for the Gap Discontinuity in Shielded Coplanar Waveguide

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Abstract

Fast and accurate component models are essential for the development of three dimensional millimeter wave integrated circuits. In this paper, an accurate and efficient artificial neural network (ANN) model for the gap discontinuity in shielded coplanar waveguide is presented. The ANN model is developed with a set of training data given by the finite-difference time-domain simulation and can be used in the frequency scope of 0≈100GHz.

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Authors and Affiliations

  1. CAE Center, University of Electronic Science and Technology of China, Chengdu, 610054, People's Republic of China

    Xiaozheng Zhong & Haocai Wang

  2. Institute of Applied Physics, University of Electronic Science and Technology of China, Chengdu, 610054, People's Republic of China

    Bing-Zhong Wang

Authors
  1. Xiaozheng Zhong
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  2. Bing-Zhong Wang
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  3. Haocai Wang
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Zhong, X., Wang, BZ. & Wang, H. Artificial Neural Network Model for the Gap Discontinuity in Shielded Coplanar Waveguide. International Journal of Infrared and Millimeter Waves 22, 1267–1276 (2001). https://doi.org/10.1023/A:1015079619009

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  • DOI: https://doi.org/10.1023/A:1015079619009

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