Kirchoff Law Markov Fields for Analog Circuit Design

Neural Information Processing Systems 

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.