Neural Networks for Transient Modeling of Circuits : Invited Paper

Jie Xiong,Alan S. Yang,Maxim Raginsky,Elyse Rosenbaum

2021 ACM/IEEE 3rd Workshop on Machine Learning for CAD (MLCAD)（2021）

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摘要

Theoretical analyses as well as case studies have established that behavioral models based on a recurrent neural network (RNN) are suitable for transient modeling of nonlinear circuits. After training, an RNN model can be implemented in Verilog-A and evaluated by a SPICE-type circuit simulator. This paper describes hurdles that have prevented wide-scale adoption of the RNN as an IP-obscuring behav...

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关键词

transient models,recurrent neural network,circuit simulation,neural ODE

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