Two-stage neural network scheme for postfabrication circuit tuning

摘要

A two-stage system of simple identical neural networks for postfabrication tuning of electronic circuits is proposed. The first stage selects the tuning parameters and the second stage estimates the corresponding tuning level of each tuning parameter. Convergence and accuracy are shown to be superior to those of a single stage of similar complexity.