Abstract: A predictive electronic circuit design system, method, and apparatus provide the ability to design an electronic circuit. An electronic computer aided design (CAD) environment server computing device is connected to the Internet and includes a machine learning module program. The machine learning module program has a netlist analyzer program, a database, and a classifier and predictor program. The netlist analyzer program receives a circuit netlist for a designed circuit from a user, characterizes the circuit netlist, and sends characterization data to the database. Characterization data from multiple users for multiple designed circuits are stored in the database. The classifier and predictor program uses design goal data, the characterization data for multiple designed circuits, and simulation results, to calculate and produce predictions and proposals for the user to make design changes to the designed circuit in order to better meet or exceed design goals.

Abstract: A predictive electronic circuit design system, method, and apparatus provide the ability to design an electronic circuit. An electronic computer aided design (CAD) environment server computing device is connected to the Internet and includes a machine learning module program. The machine learning module program has a netlist analyzer program, a database, and a classifier and predictor program. The netlist analyzer program receives a circuit netlist for a designed circuit from a user, characterizes the circuit netlist, and sends characterization data to the database. Characterization data from multiple users for multiple designed circuits are stored in the database. The classifier and predictor program uses design goal data, the characterization data for multiple designed circuits, and simulation results, to calculate and produce predictions and proposals for the user to make design changes to the designed circuit in order to better meet or exceed design goals.