Accurate and efficient small-signal modeling of active devices using artificial neural networks

  title={Accurate and efficient small-signal modeling of active devices using artificial neural networks},
  author={P Watson and M. Weatherspoon and L. Dunleavy and G. L. Creech},
  journal={GaAs IC Symposium. IEEE Gallium Arsenide Integrated Circuit Symposium. 20th Annual. Technical Digest 1998 (Cat. No.98CH36260)},
Artificial neural networks (ANNs) are presented for the accurate and efficient small-signal modeling of active devices. Models are developed using measured data and are valid over ranges of parameters such as frequency, bias, and ambient temperature. Once generated, these ANN models are inserted into commercial microwave circuit simulators where they can be used for computer-aided design (CAD) and optimization of microwave/MM-wave circuits. Also, the developed ANN models can give physical… CONTINUE READING
10 Citations
5 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 10 extracted citations


Publications referenced by this paper.
Showing 1-5 of 5 references

A Large-Signal Characterization of an HEMT Using a Multilayered Neural Network,

  • K. Shirakawa,
  • IEEE Trans. on Microwave Theory and Tech.,
  • 1997

Design and Optimization of CPW Circuits Using EMANN Models for CPW Components

  • K. C. Gupta
  • IEEE Trans . on Microwave Theory and Tech .
  • 1997

Integrated Neural Network Modeling for Electronic Manufacturing,

  • M. Marwah, Y. Lee, R. L. Mahajan
  • Journal of Electronic manufacturing,
  • 1996

Neural Networks for Pattem Recognition

  • C. M. Bishop
  • 1996

Similar Papers

Loading similar papers…