A neural network approach to circuit extraction

Abstract

A new application problem, i.e., circuit extraction, for neural networks is developed in this paper. A new formulation to represent the circuit extraction problem by numerical pattern recognition is proposed. Multilayer perceptrons (MLP) are utilized to learn the circuit information and to use this knowledge to extract the circuit macromodels.