Three learning methods for reasoning-based synthesis of novel analog circuits

This paper describes three learning methods to acquire new insight and knowledge on how structural features relate to performance and constraints. Learning is at the feature-, concept-, and constraint-level. Experiments present the three learning types for a set of modern analog circuits and illustrate the using of the gained information for circuit synthesis.