Abstract: A method comprises creating an electronic circuit design having a plurality of electronic components, creating an analog simulation model of the electronic circuit design, and executing the analog simulation model to generate one or more simulation logs representing simulated operation of the electronic circuit design. The method also comprises generating a neural network model based on the one or more simulation logs, the neural network model comprising a plurality of weights and generating a mathematical simulation model based on the neural network model.

Abstract: In described examples, a method of testing an integrated circuit design under verification (DUV) includes selecting first and second stimulus-response data to generate a model, and adjusting model training data in response to model accuracy. The first stimulus-response data is selected from stimulus-response data for a known-good design similar to the DUV. The second stimulus-response data is selected from stimulus-response data for the DUV. The model is trained using the first and second stimulus-response data. A first correlation measure verifies model accuracy with respect to trained DUV stimulus-response data. A second correlation measure verifies model accuracy with respect to untrained DUV stimulus-response data.