A New Training Approach for Robust Recurrent Neural-Network Modeling of Nonlinear Circuits

@article{Cao2009ANT,
  title={A New Training Approach for Robust Recurrent Neural-Network Modeling of Nonlinear Circuits},
  author={Yi Cao and Qijun Zhang},
  journal={IEEE Transactions on Microwave Theory and Techniques},
  year={2009},
  volume={57},
  pages={1539-1553}
}
A new approach for developing recurrent neural-network models of nonlinear circuits is presented, overcoming the conventional limitations where training information depends on the shapes of circuit waveforms and/or circuit terminations. Using only a finite set of waveforms for model training, our technique enables the trained model to respond accurately to test waveforms of unknown shapes. To relate information of training waveforms with that of test waveforms, we exploit an internal space of a… CONTINUE READING

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