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- W2898896529 abstract "Electronic equipments may be disturbed by electromagnetic pulse during operation in some fields. Gas discharge tube is usually added as surge protection device to protect electronic equipment from electromagnetic pulse. Electromagnetic pulse current injection experiment is used to test gas discharge tube's protective characteristics. In order to reduce experimental times and guide experimental process, Elman neural network was used to predict electromagnetic pulse responses of gas discharge tube. Elman neural network is a recurrent neural network with local memory units and local feedback connections. Experiments showed that the Elman neural network model on gas discharge tube at different grades of voltage injection experiments have had better prediction results." @default.
- W2898896529 created "2018-11-09" @default.
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- W2898896529 date "2018-08-11" @default.
- W2898896529 modified "2023-09-24" @default.
- W2898896529 title "Gas Discharge Tube's Electromagnetic Pulse Response Prediction Based on Elman Neural Network" @default.
- W2898896529 cites W2023118133 @default.
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- W2898896529 doi "https://doi.org/10.1145/3265639.3265648" @default.
- W2898896529 hasPublicationYear "2018" @default.
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