Kirchoff Law Markov Fields for Analog Circuit Design
Abstract
Three contributions to developing an algorithm for assisting engi(cid:173) neers in designing analog circuits are provided in this paper. First, a method for representing highly nonlinear and non-continuous analog circuits using Kirchoff current law potential functions within the context of a Markov field is described. Second, a relatively effi(cid:173) cient algorithm for optimizing the Markov field objective function is briefly described and the convergence proof is briefly sketched. And third, empirical results illustrating the strengths and limita(cid:173) tions of the approach are provided within the context of a JFET transistor design problem. The proposed algorithm generated a set of circuit components for the JFET circuit model that accurately generated the desired characteristic curves.
Cite
Text
Golden. "Kirchoff Law Markov Fields for Analog Circuit Design." Neural Information Processing Systems, 1999.Markdown
[Golden. "Kirchoff Law Markov Fields for Analog Circuit Design." Neural Information Processing Systems, 1999.](https://mlanthology.org/neurips/1999/golden1999neurips-kirchoff/)BibTeX
@inproceedings{golden1999neurips-kirchoff,
title = {{Kirchoff Law Markov Fields for Analog Circuit Design}},
author = {Golden, Richard M.},
booktitle = {Neural Information Processing Systems},
year = {1999},
pages = {907-913},
url = {https://mlanthology.org/neurips/1999/golden1999neurips-kirchoff/}
}