Long Short-Term Memory Neural Networks For Modeling Nonlinear Electronic Components
IEEE Transactions on Components, Packaging and Manufacturing Technology(2021)
摘要
This article presents a new macromodeling approach for nonlinear electronic components and circuits based on long short-term memory (LSTM) neural network. LSTM proposes a more efficient training process in comparison with the conventional recurrent neural network (RNN) training. Conventional structures such as RNN suffer from the gradient vanishing problem during the training process. LSTM address...
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关键词
Integrated circuit modeling,Solid modeling,Logic gates,Training,Mathematical model,Computer architecture,Neural networks
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