Modeling of analog circuits by using support vector regression machines

The support vector regression method is used for modeling of electronic circuits. The method ensures simple, robust and accurate modeling of electronic circuits. It yields very good results for situations not specified in the learning data set, demonstrating very good generalization property of support vector machines. The method is applicable to modeling based on the measurements or device-level circuit simulations. Several GaAs circuits (buffer, resistive mixer, ring oscillator) are modeled using the proposed method.