Wyniki wyszukiwania dla: MICROWAVE TRANSISTORS

• Deep-Learning-Based Precise Characterization of Microwave Transistors Using Fully-Automated Regression Surrogates

  Publikacja

  • N. Calik
  • F. Gunes
  • S. Kozieł
  • A. Pietrenko-Dąbrowska
  • M. Belen
  • P. Mahouti

  - Scientific Reports - Rok 2023

  Accurate models of scattering and noise parameters of transistors are instrumental in facilitating design procedures of microwave devices such as low-noise amplifiers. Yet, data-driven modeling of transistors is a challenging endeavor due to complex relationships between transistor characteristics and its designable parameters, biasing conditions, and frequency. Artificial neural network (ANN)-based methods, including deep learning...

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