Extraction of piecewise-linear analog circuit models from trained neural networks using hidden neuron clustering

@article{Doboli2003ExtractionOP,
  title={Extraction of piecewise-linear analog circuit models from trained neural networks using hidden neuron clustering},
  author={S. Doboli and G. Gothoskar and A. Doboli},
  journal={2003 Design, Automation and Test in Europe Conference and Exhibition},
  year={2003},
  pages={1098-1099}
}
This paper presents a new technique for automatically creating analog circuit models. The method extracts - from trained neural networks-piecewise linear models expressing the linear dependencies between circuit performances and design parameters. The paper illustrates the technique for an OTA circuit for which models for gain and bandwidth were automatically generated. The extracted models have a simple form that accurately fits the sampled points and the behavior of the trained neural… Expand
Fast time-domain symbolic simulation for synthesis of sigma-delta analog-digital converters
  • Hui Bin Zhang, A. Doboli
  • Computer Science
  • 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512)
  • 2004
Accurate Analog Synthesis Based On Circuit Matrix Models
On the Use of Hash Tables for Efficient Analog Circuit Synthesis

References

Computer-aided design of analog and mixed-signal integrated circuits