PaMMA-Net predicts tokamak magnetic measurements by learning to forecast their increments rather than absolute values, using a transformer decoder and spectrogram-based data augmentation, and outperforms generic time-series models on EAST data.
2007 Plasma Science and Technology9 312
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PaMMA-Net: Plasmas magnetic measurement evolution based on data-driven incremental accumulative prediction
PaMMA-Net predicts tokamak magnetic measurements by learning to forecast their increments rather than absolute values, using a transformer decoder and spectrogram-based data augmentation, and outperforms generic time-series models on EAST data.