Index-aware learning of circuits

arXiv:2309.00958v3 Announce Type: replace-cross
Abstract: Electrical circuits are present in a variety of technologies, making their design an important part of computer aided engineering. The growing number of parameters that affect the final design leads to a need for new approaches to quantify their impact. Machine learning may play a key role in this regard, however current approaches often make suboptimal use of existing knowledge about the system at hand. In terms of circuits, their description via modified nodal analysis …

abstract arxiv computer computer aided engineering cs.ce cs.lg design engineering however impact index key leads machine machine learning making parameters part regard role technologies type