Abstract: A method for recognizing various analog circuit structures is proposed, which is executed by a computer, the method comprising using the computer to perform the following: performing a feature extraction of a training circuit to extract all sub-circuits for generating multiple training samples; classifying multiple training samples by a classifier to obtain classified building blocks; performing a feature extraction of each schematic of a target circuit to convert as a feature graph and encoding feature graph as a feature matrix; classifying feature matrix by the classifier to generate multiple groups of classified devices; and clustering multiple groups of classified devices to acquire identified sub-circuits.

Abstract: A method for recognizing various analog circuit structures is proposed, which is executed by a computer, the method comprising using the computer to perform the following: performing a feature extraction of a training circuit to extract all sub-circuits for generating multiple training samples; classifying multiple training samples by a classifier to obtain classified building blocks; performing a feature extraction of each schematic of a target circuit to convert as a feature graph and encoding feature graph as a feature matrix; classifying feature matrix by the classifier to generate multiple groups of classified devices; and clustering multiple groups of classified devices to acquire identified sub-circuits.